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Articles by Ali ES
Transformer-based short-term forecasting of renewable power and grid load using high-resolution weather data with explainable AI
Transformer-based short-term forecasting of renewable power and grid load using high-resolution weather data with explainable AI School of Business, Chongqing City Management University, Chongqing, China DOI 10.7717/peerj-cs.4023 Academic Editor José Manuel Galán Subject Areas Agents and Multi-Agent Systems, Algorithms and Analysis of Algorithms, Artificial Intelligence, Data Mining and Machine Learning, Optimization Theory and Computation Keywords Transformer-based forecasting, Renewable...
An intelligent multi objective optimization based supervised classification model and experimental analysis for the performance of a renewable hybrid system
The growing global demand for energy, the climate crisis, and the unsustainability of continued reliance on fossil fuels are underscoring the importance of distributed-scale solar and wind-based hybrid systems. Evaluating solar and wind together in the same area provides a more balanced production profile and higher renewable energy penetration by leveraging the temporal complementarity of the resources.
Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving
Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving 1Department of Information Systems, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia 2Department of Information Systems, Abha, Saudi Arabia 3Department of Computer Science, Northern Border University, Arar, Saudi Arabia 4Department of Computer Science and Artificial Intelligence, Bisha, Saudi Arabia 5Department of ICT Convergence, Soonchunhyang University, Asan, Republic of...
REDf: a deep learning model for short-term load forecasting to facilitate renewable integration and attaining the SDGs 7, 9, and 13
REDf: a deep learning model for short-term load forecasting to facilitate renewable integration and attaining the SDGs 7, 9, and 13 1Department of Computer Science, American International University—Bangladesh, Dhaka, Dhaka, Bangladesh 2Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Pahang, Malaysia 3Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, Pahang, Malaysia 4Department of Degroote School of...
Optimizing power allocation for URLLC-D2D in 5G networks with Rician fading channel
The advancements in wireless technology, the number of mobile devices in cellular systems is growing rapidly. As population density in major cities continues to rise, more people are using mobile devices, and the distance between them is shrinking. This has created new possibilities for communication (Banafaa et al., 2023).
Andrographolide induces protective autophagy and targeting DJ-1 triggers reactive oxygen species-induced cell death in pancreatic cancer
Andrographolide induces protective autophagy and targeting DJ-1 triggers reactive oxygen species-induced cell death in pancreatic cancer 1Department of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou, China 2Department of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China 3Zhejiang Chinese Medical University, Hanzhou, China 4Department of Surgery, Tongde Hospital of Zhejiang Province, Zhejiang Academy of...
Effect of Mobile Phone Radiofrequency on Shared Cognitive Abilities of Adolescent Users
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TRPM2-mediated Ca2+ signaling as a potential therapeutic target in cancer treatment: an updated review of its role in survival and proliferation of cancer cells - PubMed
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TRPM2-mediated Ca2+ signaling as a potential therapeutic target in cancer treatment: an updated review of its role in survival and proliferation of cancer cells - PubMed
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A novel traffic optimization method using GRU based deep neural network for the IoV system
Introduction As the country’s economy and people’s quality of life have continued to rise, cars have become increasingly popular, and been an essential element of daily life. It is undeniable that increasingly intelligent cars bring great convenience to people’s production life, but at the same time, it also makes the urban traffic management more and more challenging.
Ribonucleotide reductase regulatory subunit M2 drives glioblastoma TMZ resistance through modulation of dNTP production
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Plant ingredients in Thai food: a well-rounded diet for natural bioactive associated with medicinal properties
Conclusions Plants used as ingredients in Thai food are typically also medicinal plants with applications proven long ago in folk medicine. This review describes the great extent of available information on edible and medicinal plants and isolated molecules from Thai food sources, which until now has existed as scattered pieces of information that have never been combined.
Machine learning and deep learning approaches in IoT
Literature Review Bai et al. (2021) published a systematic review on the security issues in the healthcare domain. They focused on the security and provenance issues for the Internet of Medical Things. As per the authors, no prior work was done on the security issues for the IoT in the medical domain. Their work only focuses on the security issues for the healthcare domain, and they reviewed the existing security issues from 2011 to 2020.
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