Semra TEBRİZCİK | Engineering | Innovative Research Award

Published on by Global Scholar Awards

Innovative Research Award

Semra TEBRİZCİK
Kırıkkale University, Turkey

Semra TEBRİZCİK
Affiliation Kırıkkale University
Country Turkey
Scopus ID 60040940400
Documents 2
Citations 2
h-index 1
Subject Area Engineering
Event Global Scholar Awards
ORCID 0000-0002-2984-7403

The Innovative Research Award recognizes researchers whose scholarly activities contribute to the advancement of knowledge and innovation within their disciplines. Semra TEBRİZCİK, affiliated with Kırıkkale University, has established a developing research profile within the field of Engineering through peer-reviewed academic publications and internationally indexed scholarly contributions.[1]

Abstract

Semra TEBRİZCİK is an engineering researcher affiliated with Kırıkkale University whose academic activities contribute to ongoing developments in engineering science and applied technological research. Her scholarly profile includes peer-reviewed publications indexed in international databases, reflecting engagement with contemporary engineering challenges and scientific methodologies. Through research dissemination, collaboration, and participation in academic knowledge exchange, she supports the advancement of evidence-based engineering practices. Her published work demonstrates commitment to scientific rigor, technical analysis, and the generation of knowledge relevant to engineering applications. These contributions establish a foundation for continued academic and professional development within the discipline.[1]

Keywords

Engineering, Applied Engineering Research, Technological Innovation, Scientific Research, Engineering Systems, Academic Publications, Technical Analysis, Research Development

Introduction

Engineering research plays a significant role in addressing technical challenges and supporting innovation across industrial and societal sectors. Semra TEBRİZCİK contributes to this field through scholarly activities that emphasize scientific investigation, analytical methodologies, and knowledge dissemination. Her work reflects engagement with contemporary engineering topics and contributes to the broader academic community through peer-reviewed research outputs and professional scholarship.[3]

Research Profile

The research profile of Semra TEBRİZCİK is centered within the engineering discipline and is characterized by scholarly publication, technical investigation, and academic engagement. Her contributions have been indexed through recognized international research databases, demonstrating participation in the global scientific community. The available publication and citation record indicates an emerging and developing academic trajectory focused on engineering research and innovation.[1]

Research Contributions

Semra TEBRİZCİK has contributed to engineering scholarship through research publications addressing technical and scientific topics relevant to her field. Her work supports the accumulation of disciplinary knowledge and encourages further investigation within engineering domains. By participating in scholarly communication and peer-reviewed publication processes, she contributes to research visibility, methodological advancement, and academic knowledge exchange.[1]

Publications

The researcher has produced peer-reviewed publications indexed within Scopus, reflecting recognized scholarly activity in engineering. These publications contribute to the dissemination of research findings and support engagement with international academic audiences. The documented publication record demonstrates involvement in scientific inquiry and participation in the publication standards expected within contemporary engineering research environments.[2]

Research Impact

Research impact can be observed through scholarly visibility, citation activity, and contribution to ongoing scientific discussions. Semra TEBRİZCİK’s publications have received citations, indicating engagement by fellow researchers and recognition within relevant academic circles. Such indicators suggest that her work contributes to knowledge dissemination and supports future investigations within engineering-related areas of study.[1]

Award Suitability

Semra TEBRİZCİK demonstrates qualities aligned with the objectives of the Innovative Research Award through scholarly publication, academic participation, and engineering-focused research contributions. Her documented record of peer-reviewed outputs and engagement with scientific research supports consideration for recognition. These achievements reflect commitment to academic excellence, knowledge advancement, and responsible scientific inquiry within engineering disciplines.[4]

Conclusion

The academic activities of Semra TEBRİZCİK illustrate a developing contribution to engineering research through publication, scholarly engagement, and scientific investigation. Her research profile reflects participation in internationally recognized academic platforms and demonstrates commitment to advancing knowledge within her discipline. These accomplishments support her recognition within the context of research excellence and innovation.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Semra TEBRİZCİK, Author ID 60040940400. Scopus.https://www.scopus.com/authid/detail.uri?authorId=60040940400
  2. ORCID. (n.d.). ORCID record for Semra TEBRİZCİK.https://orcid.org/0000-0002-2984-7403
  3. ResearchGate. (n.d.). ResearchGate profile of Semra TEBRİZCİK.https://www.researchgate.net/profile/Semra-Tebrizcik
  4. Global Scholar Awards. (n.d.). International Research Recognition Program.https://globalscholarawards.com/

Yanjie Zhang | Civil Engineering | Research Excellence Award

Published on by Global Scholar Awards

Research Excellence Award

Yanjie Zhang
Henan University of Technology

Yanjie Zhang
Affiliation Henan University of Technology
Country China
Scopus ID 57191165962
Documents 21
Citations 540
h-index 13
Subject Area Civil Engineering
Event Global Scholar Awards

The Research Excellence Award recognizes outstanding scholarly contributions and sustained academic impact in the field of civil engineering. Yanjie Zhang of Henan University of Technology has established a recognized research profile through scientific publications, citation performance, and interdisciplinary engineering studies. His work has contributed to advancements in infrastructure materials, engineering analysis, and sustainable construction methodologies within the broader civil engineering discipline.[1]

Abstract

This article presents an academic overview of  Yanjie Zhang and the scholarly basis supporting recognition under the Research Excellence Award category. The profile highlights research productivity, citation metrics, engineering contributions, and publication influence within civil engineering and related infrastructure sciences. Through peer-reviewed publications and measurable scholarly impact, Zhang has contributed to technical discussions involving construction materials, structural analysis, and engineering sustainability.[2]

Keywords

Civil Engineering, Structural Materials, Sustainable Infrastructure, Engineering Research, Construction Technology, Research Excellence Award, Academic Publications, Scopus Citations, Infrastructure Engineering, Engineering Innovation

Introduction

The Research Excellence Award acknowledges scholars whose academic activities demonstrate measurable influence through publications, citations, interdisciplinary collaboration, and ongoing scientific engagement. In civil engineering, such recognition often reflects contributions to infrastructure development, sustainable engineering systems, and analytical methodologies that support industrial and societal progress.[3]

Yanjie Zhang has developed a research profile associated with engineering science and infrastructure-related investigations. His scholarly activities include publication of peer-reviewed studies indexed in major academic databases, including Scopus. Citation indicators and research metrics further illustrate the visibility and academic relevance of his work within engineering research communities.[1]

Research Profile

Yanjie Zhang is affiliated with Henan University of Technology in China, where his academic activities focus on civil engineering and related infrastructure systems. His publication portfolio includes engineering studies addressing construction materials, engineering durability, and structural performance evaluation. The scholarly profile associated with his Scopus Author ID indicates continuing contributions to international engineering literature.[1]

Research performance indicators associated with  Zhang include 21 indexed documents, 540 citations, and an h-index of 13. These metrics suggest a sustained level of scholarly engagement and visibility within the engineering research community. Citation-based indicators are commonly used to evaluate the influence and dissemination of academic work across disciplines.[4]

Research Contributions

The research contributions associated with Yanjie Zhang involve engineering methodologies relevant to infrastructure performance and material optimization. His academic publications contribute to broader discussions on structural reliability, sustainability in construction practices, and performance enhancement of engineering systems.[5]

Several studies connected to his academic portfolio address applied engineering challenges, emphasizing analytical assessment techniques and material behavior under varying operational conditions. These contributions align with contemporary priorities in civil engineering research, including sustainable development and long-term infrastructure resilience.[6]

  • Research on engineering materials and infrastructure durability.
  • Publication of peer-reviewed civil engineering studies.
  • Contribution to sustainable construction methodologies.
  • Participation in internationally indexed academic research.

Publications

Zhang’s publication record includes engineering articles indexed in internationally recognized databases. His work reflects interdisciplinary collaboration and contributes to technical knowledge within civil engineering and construction sciences.[2]

  1. Research involving sustainable engineering materials and structural evaluation methodologies.
  2. Studies associated with infrastructure resilience and engineering performance optimization.
  3. Peer-reviewed contributions indexed within Scopus and related academic repositories.

Representative DOI-linked engineering literature connected to contemporary civil engineering methodologies includes research available through academic publishing platforms such as Elsevier and Springer.[7]

Research Impact

Citation indicators and publication visibility demonstrate the academic reach of  Zhang’s work. An h-index of 13 and more than 500 citations indicate that his publications have been referenced within scholarly engineering literature and research discussions. Such metrics are widely considered indicators of research dissemination and influence.[4]

The impact of engineering research is frequently evaluated through its contribution to practical applications, scientific advancement, and interdisciplinary collaboration.  Zhang’s publication metrics and indexed research profile support recognition within the framework of international academic award programs.[3]

Award Suitability

The Research Excellence Award emphasizes measurable scholarly achievement, publication consistency, and scientific influence. Based on available research indicators, Yanjie Zhang demonstrates qualifications aligned with these evaluation criteria through citation performance, publication output, and sustained engagement within civil engineering research.[1]

The combination of indexed publications, engineering-focused investigations, and international academic visibility supports consideration for recognition through the Global Scholar Awards platform. Such recognition reflects the importance of sustained scholarly activity and contribution to scientific advancement within infrastructure and civil engineering disciplines.[8]

Conclusion

 Yanjie Zhang has established a scholarly profile characterized by engineering research contributions, publication activity, and measurable citation impact. His academic record demonstrates engagement with infrastructure-related engineering studies and reflects continuing participation in internationally indexed scientific research. The available research metrics and publication evidence provide a scholarly basis for recognition under the Research Excellence Award category.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Yanjie Zhang, Author ID 57191165962. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57191165962
  2. ORCID. (n.d.). ORCID profile of  Yanjie Zhang.https://orcid.org/0000-0003-2587-1112
  3. Global Scholar Awards. (n.d.). Research Excellence Award evaluation framework.https://globalscholarawards.com/
  4. Zhang, Y., Huang, H., & Chen, G. (2026). Assessing redundancy and resilience of roadway networks prone to geohazards in mountainous regions. https://doi.org/10.1016/j.ress.2026.112860
  5. Zhang, Y., Cao, Z., Liu, C., & Huang, H. (2024). Fluid-solid coupling numerical simulation of micro-disturbance grouting treatment for excessive deformation of shield tunnel. https://doi.org/10.1016/j.undsp.2024.02.003
  6. Saadat, Y., Ayyub, B. M., Zhang, Y., Zhang, D., & Huang, H. (2024). Failure analysis of urban rail transit networks incorporating ridership patterns.  https://doi.org/10.1115/1.4063426
  7. Zhang, Y., Ayyub, B. M., Gong, W., & Tang, H. (2023). Risk assessment of roadway networks exposed to landslides in mountainous regions—a case study in Fengjie County, China. https://doi.org/10.1007/s10346-023-02045-3
  8. Global Scholar Awards. (n.d.). Academic recognition and international research awards.https://globalscholarawards.com/

Samyar Sarraf | Engineering | Young Innovator Award

Published on by Global Scholar Awards

Dr. Samyar Sarraf | Engineering | Young Innovator Award

Lab Assistant | Sharif University of Technology | Iran

Dr. Samyar Sarraf is a Ph.D. graduate in Mechanical Engineering from Sharif University of Technology, with recognized expertise spanning offshore and marine engineering, civil engineering, and applied hydrodynamics. His research focuses on experimental and numerical investigation of squat submarine hydrodynamic performance and ship–submarine interactions, with multiple peer-reviewed publications in the high-impact journal Ocean Engineering. He has authored several scholarly works, accumulating 16 citations and an h-index of 2, reflecting a growing research influence. In addition to marine hydrodynamics, his interdisciplinary contributions include innovative solutions in geotechnical and earthquake engineering, such as the development of an underground earthquake isolation system and advanced dynamic soil modeling methods. His work demonstrates strong experimental rigor, numerical proficiency, and collaborative engagement with multidisciplinary research teams, offering practical societal impact in maritime safety, offshore operations, and resilient infrastructure design at an international level.

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Shunming Li | Engineering | Research Excellence Award

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Mr. Shunming Li | Engineering | Research Excellence Award

Professor | Nantong Institute of Technology | China

Mr. Shunming Li is a senior researcher at Nantong University, China, specializing in intelligent fault diagnosis, vibration signal processing, rolling bearing health monitoring, and data-driven prognostics. He has published  323 peer-reviewed articles, 4,570 citations with an h-index of 34, demonstrating sustained scholarly impact. His research integrates deep learning, transfer learning, digital twins, and advanced signal denoising methods to address complex machinery health monitoring challenges under multi-operating and data-limited conditions. Dr. Li has developed interpretable and domain-adaptive diagnostic models that enhance fault detection accuracy and remaining useful life prediction. He maintains extensive national and international collaborations, having worked with over 250 co-authors across engineering disciplines. His contributions support safer, more reliable industrial systems and promote predictive maintenance strategies, delivering significant societal and economic benefits for smart manufacturing and infrastructure health management.

Citation Metrics (Scopus)

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Ali Bedii Candas | Engineering | Research Excellence Award

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Dr. Ali Bedii Candas | Engineering | Research Excellence Award

Head of Contracts | YDA Group | Turkey 

Dr. Candaş Ali Bedii is a researcher at the Middle East Technical University (METU), Ankara, Turkey, specializing in construction engineering, data analytics, and artificial intelligence. His work focuses on the application of machine learning and natural language processing to enhance automation and decision-making in construction contract management. He has authored 2 Scopus-indexed publications, which have collectively received 48 citations, with an h-index of 2, indicating the academic relevance and influence of his research. His scholarly contributions highlight the use of multilabel text classification to streamline coordination and review processes in complex construction projects. Through interdisciplinary collaboration, he integrates engineering knowledge with intelligent computational methods. His research supports more efficient, transparent, and reliable project delivery, contributing to reduced contractual disputes and improved risk management, thereby offering meaningful societal and industrial impact.

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Featured Publications


Automated Identification of Vagueness in the FIDIC Silver Book Conditions of Contract


– Journal of Construction Engineering and Management, 2022

Shen Yuong Wong | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Assoc. Prof. Dr. Shen Yuong Wong | Engineering | Best Researcher Award

Associate Professor | Sunway University | Malaysia

Dr. Wong, Shen Yuong is a researcher at Sunway University, Malaysia, specializing in energy engineering and sustainable power systems. His research centers on renewable energy integration, power quality analysis, green hydrogen technologies, photovoltaic–hydrogen systems, virtual power plants, and energy storage, with strong emphasis on techno-economic assessment and system-level optimization. He employs advanced methodologies such as deep learning, energy modelling, and multi-objective optimization to enhance grid reliability, efficiency, and sustainability. Dr. Wong has authored 54 Scopus-indexed publications, accumulating 708 citations and achieving an h-index of 13, demonstrating significant academic impact in the energy research domain. His work is published in leading international journals, including Engineering Applications of Artificial Intelligence and Process Safety and Environmental Protection. Through collaborations with more than 100 international co-authors, his research contributes to decarbonization strategies, circular economy implementation, and the development of resilient, low-carbon energy systems with meaningful societal and industrial benefits.

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Yao Ni | Engineering | Editorial Board Member

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Dr. Yao Ni | Engineering | Editorial Board Member

Researcher | Guangdong University of Technology | China

Dr. Ni Yao is a distinguished researcher at the Guangdong University of Technology, Guangzhou, China, widely recognized for his contributions to advanced materials, neuromorphic engineering, and intelligent sensing–processing systems. With an interdisciplinary focus spanning materials science, flexible electronics, artificial intelligence hardware, and intelligent control mechanisms, his research advances next-generation photonic synaptic transistors, in-sensor reservoir computing architectures, and flexible neuromorphic devices capable of multidimensional shape morphing. Dr. Yao has authored 65 peer-reviewed publications, achieved 1,679 citations, and maintains an h-index of 23, reflecting the depth, continuity, and global influence of his scholarly work. His recent high-impact contributions include crystallized conjugated polymer-based photonic synaptic transistors, paper-based perovskite artificial neuromorphic retinas, free shape-morphing neuromorphic devices published in Nature Communications, as well as novel methodologies for industrial control deadlock avoidance, frequency-aware transformers for pipeline leak detection, and symmetric optimization models for delivery duration forecasting. Engaging in collaborations with over 160 co-authors, Dr. Yao actively contributes to multidisciplinary research communities, promoting scientific advancement across materials innovation, industrial automation, computational sensing, and AI-driven systems engineering. His work delivers broad societal impact by enabling energy-efficient intelligent devices, enhancing autonomous perception capabilities, and driving innovations that support safer, more sustainable, and technologically advanced industrial ecosystems. Through continuous innovation, rigorous scholarship, and extensive international collaboration, Dr. Ni Yao remains at the forefront of shaping future directions in intelligent materials, neuromorphic computing, and integrated sensing technologies.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

1. Wei, H., Yang, J., Fu, C., Li, Z., Ni, Y., Wang, B., He, B., Jiang, S., & He, G. (2025). ALD-driven ultra-thin ZnO channels for flexible electrolytic neuromorphic devices. IEEE Electron Device Letters.

2. Ni, Y., Zhang, Y., Lin, J., Liu, X., Yu, Y., Liu, L., Zhong, W., Chen, Y., Chen, R., Kwok, H. S., et al. (2025). Transistor-structured artificial dendrites for spatiotemporally correlated reservoir computing. IEEE Electron Device Letters.

3. Guan, X., Wu, W., & Ni, Y. (2025). A novel methodology to deadlock analysis and avoidance for automatic control systems based on Petri Net. Processes, 13(10).

4. Chen, M., Lu, Y., Wu, W., Ye, Y., Wei, B., & Ni, Y. (2025). Multi-scale frequency-aware transformer for pipeline leak detection using acoustic signals. Sensors, 25(20).

5. Ji, Z., Liu, J., He, Y., Yang, H., Zhang, L., Guan, S., Ni, Y., & Wu, T. (2025). Stretchable synaptic device with photonic–electric dual mode for sign language recognition. Advanced Materials Technologies

Farouk Zouari | Engineering | Editorial Board Member

Published on by Global Scholar Awards

Assist. Prof. Dr. Farouk Zouari | Engineering | Editorial Board Member

Ecole Nationale d’Ingénieurs de Tunis | Tunisia

Dr. Farouk Zouari is a distinguished researcher at Université de Tunis El Manar, Tunisia, known for his significant contributions to control systems engineering and intelligent autonomous technologies. His research encompasses neural network–based adaptive control, nonlinear optimal control, MIMO systems, time-varying delay systems, and finite-time fuzzy synchronization of fractional-order and chaotic systems, with a strong focus on bridging theoretical advancements and real-world applications in automation, robotics, and intelligent transportation. Over his career, Dr. Zouari has produced 37 peer-reviewed publications and established a solid scholarly presence supported by 735 citations and an h-index of 17, indicating substantial impact and sustained relevance in his field. His recent works spanning robust adaptive output feedback control for time-delay MIMO systems, optimal control strategies for multi-axle autonomous vehicles, and chattering-free synchronization methods demonstrate his commitment to addressing emerging engineering challenges. With collaborations involving 30 co-authors, Dr. Zouari actively contributes to interdisciplinary progress, fostering innovation across global research communities. His work continues to support the advancement of intelligent control methodologies and their integration into next-generation dynamic and autonomous systems, contributing to both technological development and societal benefit.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2018). Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities. Neural Networks, 105, 256–276. Cited by: 82

2. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2021). Neural network controller design for fractional-order systems with input nonlinearities and asymmetric time-varying pseudo-state constraints. Chaos, Solitons & Fractals, 144, Article 110742. Cited by: 65

3. Boubellouta, A., Zouari, F., & Boulkroune, A. (2019). Intelligent fuzzy controller for chaos synchronization of uncertain fractional-order chaotic systems with input nonlinearities. International Journal of General Systems, 48(3), 211–234. Cited by: 65

4. Zouari, F., Boulkroune, A., & Ibeas, A. (2017). Neural adaptive quantized output-feedback control-based synchronization of uncertain time-delay incommensurate fractional-order chaotic systems with input nonlinearities. Neurocomputing, 237, 200–225. Cited by: 64

5. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2019). Neuro-adaptive tracking control of non-integer order systems with input nonlinearities and time-varying output constraints. Information Sciences, 485, 170–199. Cited by: 56

Chengbiao Tong | Engineering | Research Excellence Award

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Mr. Chengbiao Tong | Engineering | Research Excellence Award

Professor | Hunan Agricultural University | China

Dr. Chengbiao Tong is a researcher at Hunan Agricultural University specializing in intelligent aquaculture, computer vision, and deep-learning-based environmental monitoring. He has contributed a growing body of scientific work, with publications advancing automated recognition systems, image-based analysis, and smart farming technologies. His research has accumulated meaningful citations and demonstrates increasing visibility within the agricultural technology community. Dr. Tong actively collaborates with multidisciplinary teams and co-authors, supporting innovation at the intersection of artificial intelligence and modern aquaculture. His work on YOLO-based detection models, including applications for fish health monitoring, contributes to improving sustainability, efficiency, and early-warning capabilities in aquatic farming systems. Through his research, he promotes data-driven decision-making and enhances the technological transformation of agriculture.

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Mohammed Alenazi | Computer Engineering | Best Researcher Award

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Mr. Mohammed Alenazi | Computer Engineering | Best Researcher Award

Assistant Professor | University of Tabuk | Saudi Arabia

Mr. Mohammed M. Alenazi is an accomplished academic and researcher with expertise in electrical and electronics engineering, computer engineering, and artificial intelligence applications in energy-efficient networks. He earned his Ph.D. in Electrical and Electronics Engineering from the University of Leeds, UK (2018–2022), focusing on energy efficiency in AI-powered communication systems. Prior to this, he completed his M.Eng. in Computer Engineering at Florida Institute of Technology, USA (2016–2017), and a B.Eng. in Computer Engineering from University Sultan Bin Fahad (2007–2011), along with an Associate’s degree in Electrical/Electronics Equipment Installation and Repair from Tabuk College of Technology (2002–2004). Professionally, Mr. Alenazi began his career as a Senior Engineer at Saudi Telecom Company (2006–2011), where he gained practical experience in optical fiber networks, before transitioning to academia as a Teaching Assistant at Northern Border University (2012–2013) and later at the University of Tabuk, where he continues to serve since 2013, eventually advancing into an assistant professorship. His research interests include machine learning, IoT networks, energy optimization, and intelligent systems, with key contributions in developing models for energy-efficient ML-based service placement, neural network embedding in IoT, and intelligent sterilization systems, reflected in several IEEE and Scopus-indexed publications. In addition to publications, he has contributed innovative patents, such as systems for vehicle communication during accidents. His research skills encompass advanced AI modeling, simulation of communication networks, and interdisciplinary problem-solving in sustainable technologies. Mr. Alenazi is an active member of IEEE, AAAI (USA), AISB (UK), PMI, and the Saudi Council of Engineers, and he holds prestigious certifications including CCNA, CompTIA Security+ CE, and PMP. He has consistently demonstrated leadership in academia and professional communities, bridging industry and research while mentoring students. With a growing academic profile of 28 citations, 7 documents, and an h-index of 3, he is well-positioned for continued impact and recognition in his field.

Profiles: Google Scholar | Scopus | ORCID  | ResearchGate

Featured Publications

  1. Alenazi, M. M., Yosuf, B. A., El-Gorashi, T., & Elmirghani, J. M. H. (2020). Energy efficient neural network embedding in IoT over passive optical networks. 2020 22nd International Conference on Transparent Optical Networks (ICTON), 1–6. Cited by: 13

  2. Yosuf, B. A., Mohamed, S. H., Alenazi, M. M., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2021). Energy-efficient AI over a virtualized cloud fog network. Proceedings of the Twelfth ACM International Conference on Future Energy Systems. Cited by: 11

  3. Alenazi, M. M., Yosuf, B. A., Mohamed, S. H., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2021). Energy-efficient distributed machine learning in cloud fog networks. 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 935–941. Cited by: 9

  4. Banga, A. S., Alenazi, M. M., Innab, N., Alohali, M., Alhomayani, F. M., Algarni, M. H., & others. (2024). Remote cardiac system monitoring using 6G-IoT communication and deep learning. Wireless Personal Communications, 136(1), 123–142. Cited by: 4

  5. Alenazi, M. M., Yosuf, B. A., Mohamed, S. H., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2022). Energy efficient placement of ML-based services in IoT networks. 2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom). Cited by: 4