Modeling Energy Access Challenges in Europe: A Neural Network Approach to Predicting Household Heating Inadequacy Using Macro-Energy Indicators by Monika Kulisz, Justyna Kujawska, Michał Cioch, Wojciech Cel

“…The results demonstrate the superior ability of the BR algorithm to generalize data, outperforming other models like ElasticNet and decision trees, which also provided valuable insights but with lower precision. …”
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Improving the oxygen and water vapour barrier properties of PLA via a novel interface engineering by Yan Zhu, Wangli Du, Jian Cui, Hong Shao, Yakun Guo, Changyu Tang, Run Xu

“…Our work shows that the HHIC technology used in this study provides an efficient way to improve the oxygen and water vapour blocking ability of PLA and may help in improving the quality of other polymer heterointerfaces in the future.…”
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Digital auscultation in clear and present threat of novel respiratory infectious disease: a narrative review by Heeeon Lee, Gun Kim, Jacob Sangwoon Bae

“…This review examines the feasibility and limitations of smartphone-based digital stethoscopes powered by AI, focusing on their ability to perform real-time analyses of audible and inaudible sound frequencies. …”
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On SGX's Voyage to corporate sustainability: Exploring emerging topics in multi-industry corpora by Ni Xinwen, Lin Min-Bin, Schillebeeckx Simon J. D., Härdle Wolfgang Karl

“…LDA’s strength lies in its ability to efficiently capture emerging themes from large text corpora, making it a popular choice for categorization. …”
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ReACT_OCRS: An AI-Driven Anonymous Online Reporting System Using Synergized Reasoning and Acting in Language Models by Amir Aboubakr Shaker Mahmoud, Wesam Shishah, Nilay R. Mistry

“…This work improves cybercrime reporting by making it more accessible, efficient, and secure, fostering greater participation from victims and witnesses.…”
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An interpretable approach for trustworthy intrusion detection systems against evasion samples by Ngoc Tai Nguyen, Hien Do Hoang, The Duy Phan, Van-Hau Pham

“… In recent years, Deep Neural Networks (DNN) have demonstrated remarkable success in various domains, including Intrusion Detection Systems (IDS). The ability of DNN to learn complex patterns from large datasets has significantly improved IDS performance, leading to more accurate and efficient threat detection. …”
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Electric Vehicle Charging Demand Prediction Model Based on Spatiotemporal Attention Mechanism by Yang Chen, Zeyang Tang, Yibo Cui, Wei Rao, Yiwen Li

“…The experimental results indicate that the proposed model has a more powerful comprehensive ability to capture spatiotemporal relationships and improve accuracy and stability in different prediction steps.…”
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6G Automatic Modulation Classification using Deep Learning Models in the Presence of Channel Noise, CFO, and PN by Zhraa Zuheir Yahya, Dia M. Ali, Marwa Y. Abdallah

“…An efficient and a remarkable automatic modulation classification (AMC) technique is essential with the advent of sixth-generation (6G) communication systems. …”
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Green Synthesis of Silver Nanoparticles Using Waste Products (Apricot and Black Currant Pomace) Aqueous Extracts and Their Characterization by Georgii Vasyliev, Victoria Vorobyova, Margarita Skiba, Liudmyla Khrokalo

“…The synthesized nanoparticles efficiently demonstrated a bactericide effect on Escherichia coli.…”
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Training hybrid neural networks with multimode optical nonlinearities using digital twins by Oguz Ilker, Suter Louis J.E., Hsieh Jih-Liang, Yildirim Mustafa, Dinc Niyazi Ulas, Moser Christophe, Psaltis Demetri

“…The ability to train ever-larger neural networks brings artificial intelligence to the forefront of scientific and technical discoveries. …”
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Linguistic and communication application aspects of new practical training technologies by V. Yu. Pokazanyev, S. V. Firsova

“…Project-based learning methodology development and implementation at the State University of Management have contributed to development, coordination, and efficiency of research and students’ project activities. …”
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A Rapid Population Assessment Method for Wild Pigs Using Baited Cameras at 3 Study Sites by Peter E. Schlichting, James C. Beasley, Raoul K. Boughton, Amy J. Davis, Kim M. Pepin, Michael P. Glow, Nathan P. Snow, Ryan S. Miller, Kurt C. VerCauteren, Jesse S. Lewis

“…ABSTRACT Reliable and efficient population estimates are a critical need for effective management of invasive wild pigs (Sus scrofa). …”
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Free-electron coupling to surface polaritons mediated by small scatterers by Prelat Leila, Dias Eduardo J. C., García de Abajo F. Javier

“…The ability of surface polaritons (SPs) to enhance and manipulate light fields down to deep-subwavelength length scales enables applications in optical sensing and nonlinear optics at the nanoscale. …”
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Solid Oxide Electrolysis, Co-Electrolysis, and Methanation Fundamentals of Performance and History by Katsiaryna Martsinchyk, Aliaksandr Martsinchyk, Jaroslaw Milewski

“…SOE technologies, characterized by their high efficiencies and ability to operate at elevated temperatures, offer significant advantages in hydrogen production and power generation. …”
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Scalable System for Smart Urban Transport Management by Nauman Ahmad Khan, Jean-Christophe Nebel, Souheil Khaddaj, Vesna Brujic-Okretic

“…Efficient management of smart transport systems requires the integration of various sensing technologies, as well as fast processing of a high volume of heterogeneous data, in order to perform smart analytics of urban networks in real time. …”
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Maximizing the therapeutic benefits of biopolymer-derived nanoparticles in wound healing by Seyedeh Farnaz Darghiasi, Fatemeh Rajabi, Ashkan Farazin

“…Their adaptability positions them as ideal candidates for wound management, either as advanced wound dressings or as efficient drug delivery systems. With intrinsic antibacterial properties and the ability to enhance tissue repair, nanoparticles have gained significant attention in promoting effective wound healing. …”
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Deep learning in oral surgery for third molar extraction: empirical evidence and original model by Deyan Neychev, Ralitsa Raycheva, Nadezhda Kafadarova

“…The advent of artificial intelligence (AI) in all spheres of life, including medicine, has created the technical ability to process a variety of types and characteristics of data related to many diseases. …”
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Fast and accurate prediction of drug induced proarrhythmic risk with sex specific cardiac emulators by Paula Dominguez-Gomez, Alberto Zingaro, Laura Baldo-Canut, Caterina Balzotti, Borje Darpo, Christopher Morton, Mariano Vázquez, Jazmin Aguado-Sierra

“…Our results show significant differences between 3D and 0D single-cell models as risk levels increase, underscoring the ability of 3D modeling to capture more complex cardiac responses. …”
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Machine learning-based spectrum occupancy prediction: a comprehensive survey by Mehmet Ali Aygül, Mehmet Ali Aygül, Hakan Ali Çırpan, Hüseyin Arslan

“…In cognitive radio (CR) systems, efficient spectrum utilization depends on the ability to predict spectrum opportunities. …”
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Research Progress on the Characteristics of Nitrogen and Phosphorus Uptake by <i>Ulva prolifera</i>, the Dominant Macroalga Responsible for Green Tides in the Yellow Sea by Yichao Tong, Yuqing Sun, Jing Xia, Jinlin Liu

“…The nutrient absorption characteristics of <i>Ulva prolifera</i>, including its preference for abundant nutrients, a high nitrogen-to-phosphorus (N/P) ratio, and its ability to efficiently absorb nutrients during pulse nutrient input events, determine its dominant role in the green tide events in the Yellow Sea. …”
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