Efficient Artificial Neural Network for Smart Grid Stability Prediction by Saeed Mohsen, Mohit Bajaj, Hossam Kotb, Mukesh Pushkarna, Sadam Alphonse, Sherif S. M. Ghoneim

“…From this perspective, this process is too much time consuming, thus it should predict a smart grid stability via artificial intelligence (e.g., neural networks). Recent advances in the accuracy of neural network have effective solutions to solving the smart grid stability prediction issues, but it remains necessary to develop high performance neural networks that give higher accuracy. …”
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Exploring Embodiment Form Factors of a Home-Helper Robot: Perspectives from Care Receivers and Caregivers by Katherine M. Tsui, Rune Baggett, Carol Chiang

“…We contextualize our results within the rising popularity of humanoid robots and the desire for general purpose Artificial Intelligence.…”
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Gain Enhancement of a Multiband Resonator Using Defected Ground Surface on Epoxy Woven Glass Material by Md. Shahidul Alam, Mohammad Tariqul Islam, Haslina Arshad

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Problems and prospects for livestock industry development in the context of digitalization of the agro-industrial complex in the region (based on the materials of the Republic of B... by Z. T. Nasretdinova, A. M. Khazieva, A. R. Nasretdinova

“…Prospects for livestock farming digitalization development in the region have been considered, such as smart livestock farms development through automated systems for climate control, feeding, milking, and animal health monitoring, use of sensors and the Internet of Things, artificial intelligence application for data analysis, yield forecasting, feeding and treatment processes optimization, development of a single digital platform for information exchange between farmers, veterinary services, fodder suppliers, and other participants, and development of a single digital platform for the exchange of information among farmers, veterinary services, feed suppliers, and other stakeholders. …”
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Neural Networks Application for the Data of PID Controller for Acrobot by Nguyen Cong Danh

“…The ANN is the most intelligent control method currently added in this study to firmly confirm its effectiveness in all problems related to artificial intelligence. Proposing control strategies for different models is also suggested by the author in the conclusion. …”
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A Novel Tornado Detection Algorithm Based on XGBoost by Qiangyu Zeng, Guoxiu Zhang, Shangdan Huang, Wenwen Song, Jianxin He, Hao Wang, Yin Liu

“…In addition, the TDA-XGB algorithm combines artificial intelligence-assisted learning to optimize the traditional algorithm based on the tornado vortex signature (TVS) and tornado debris signature (TDS), further improving the detection effect. …”
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Advanced retinal disease detection from OCT images using a hybrid squeeze and excitation enhanced model. by Gülcan Gencer, Kerem Gencer

“…This paper offers a hybrid SE (Squeeze-and-Excitation)-Enhanced Hybrid Model for detecting retinal disorders from OCT images, including DME, Drusen, and CNV, using artificial intelligence and deep learning.<h4>Methods</h4>The model integrates SE blocks with EfficientNetB0 and Xception architectures, which provide high success in image classification tasks. …”
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Advances in antiviral strategies targeting mosquito-borne viruses: cellular, viral, and immune-related approaches by Ayyaz Khan, Zakirullah, Shahid Wahab, Seong-Tshool Hong

“…Additionally, it explores immunomodulatory therapies to enhance antiviral responses and emphasizes the potential of drug repurposing, bioinformatics, artificial intelligence, and deep learning in identifying novel antiviral candidates. …”
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Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators by Ala Saleh Alluhaidan, Diaa Salama AbdElminaam, Taraggy M. Ghanim, Sahar A. El-Rahman, Ibrahim Shawky Farahat, Arar Al Tawil, Yasmin Alkady, Walaa H. Elashmawi

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An adaptive voltage reference based multi-objective line flow control methods for MMC-MTDC system by Yuanshi Zhang, Wenyan Qian, Yiwen Feng, Fei Zhang, Chenyi Zheng, Qinran Hu, Liwei Wang

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Enhancing thyroid nodule assessment with deep learning and ultrasound imaging by Jatinder Kumar, Surya Narayan Panda, Devi Dayal, Manish Sharma

“…Developments in artificial intelligence (AI), particularly deep learning (DL), are helping to identify and measure patterns in clinical images because of DL's capacity towards pull out hierarchical attribute representations from images without the need for annotated images. …”
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Comparison of algorithms for the recognition of ChatGPT paraphrased texts by Aleksandar Kartelj, Miljana Mladenović, Staša Vujičić Stanković

“…Abstract The rapid development of artificial intelligence, especially AI assistants, is leading to new forms of plagiarism that are difficult to detect using existing methods. …”
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Prompt injection attacks on vision language models in oncology by Jan Clusmann, Dyke Ferber, Isabella C. Wiest, Carolin V. Schneider, Titus J. Brinker, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather

“…Abstract Vision-language artificial intelligence models (VLMs) possess medical knowledge and can be employed in healthcare in numerous ways, including as image interpreters, virtual scribes, and general decision support systems. …”
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Technical Diagnostics of Industrial Robots Using Vibration Signals: Case Study on Detecting Base Unfastening by Daria Fedorova, Vladimír Tlach, Ivan Kuric, Tomáš Dodok, Ivan Zajačko, Karol Tucki

“…In the domain of modern manufacturing digitalization, artificial intelligence tools are increasingly employed for condition monitoring and technical diagnostics. …”
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What Are the Public’s Concerns About ChatGPT? A Novel Self-Supervised Neural Topic Model Tells You by Rui Wang, Xing Liu, Peng Ren, Shuyu Chang, Zhengxin Huang, Haiping Huang, Guozi Sun

“…The recently released ChatGPT, an artificial intelligence conversational agent, has garnered significant attention in academia and real life. …”
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Emergence of power law distributions in protein-protein interaction networks through study bias by David B Blumenthal, Marta Lucchetta, Linda Kleist, Sándor P Fekete, Markus List, Martin H Schaefer

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Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition by Fayaz Ahmed Memon, Umair Ali Khan, Pardeep Kumar, Imtiaz Ali Halepoto, Farida Memon

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FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction by Xuekai Zhu, Juan Liu, Jian Zhang, Zhihui Yang, Feng Yang, Xiaolei Zhang

“…Many efforts have been exerted toward screening potential drugs for targets, and conducting wet experiments remains a laborious and time-consuming approach. Artificial intelligence methods, such as Convolutional Neural Network (CNN), are widely used to facilitate new drug discovery. …”
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An Overview and State of The Art in Reconfigurable Antennas with Their Applications by El Aoud Salah Eddine, Abbaoui Hind, Attioui Sanae, El Assri Nasima, Ibnyaich Saida, Zeroual Abdelouhab

“…Recent developments in the field focus on miniaturization, multi-band operation, and integration with advanced technologies like artificial intelligence (AI) for intelligent reconfiguration. …”
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Professionals’ Perspectives of Smart Stationary Bikes in Rehabilitation: Qualitative Study by Julie Soulard, Dahlia Kairy, Roua Walha, Cyril Duclos, Sylvie Nadeau, Claudine Auger

“…Smart technologies, such as artificial intelligence and robotics, bring new possibilities to achieve rehabilitation goals. …”
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