Applications of Artificial Intelligence in Drug Repurposing by Zhaoman Wan, Xinran Sun, Yi Li, Tianyao Chu, Xueyu Hao, Yang Cao, Peng Zhang

“…Building on these insights, challenges remain in developing efficient AI algorithms and future research, including integrating drug‐related data across databases for better repurposing, enhancing AI computational efficiency, and advancing personalized medicine.…”
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5G NR sub-THz fiber-wireless integrated systems using polarization multiplexing-multiband technique and self-polarization diversity scheme by Ming-Chung Cheng, Hai-Han Lu, Hsiao-Mei Lin, Stotaw Talbachew Hayle, Xu-Hong Huang, Wei-Wen Hsu, Yu-Chen Chung, Yu-Yao Bai, Kelper Okram, Jia-Ming Lu

“…Polarization multiplexing-multiband technique is an effectual method to enhance the transmission capacity and spectral efficiency of systems. Self-polarization diversity scheme is an efficient scheme for polarization demultiplexing, in which an x-polarized (y-polarized) optical carrier with multiple x-polarized (y-polarized) optical signals can be detected using single-ended photodiodes. …”
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Under-scanning non-line-of-sight imaging based on convolution approximation and optimization by Jinye Miao, Yingjie Shi, Lingfeng Liu, Yi Wei, Fuyao Cai, Lianfa Bai, Enlai Guo, Jing Han

“…However, a fundamental problem is that acquiring the transient images is time-consuming, making it challenging to balance reconstruction quality and acquisition efficiency. In this paper, the under-scanning NLOS imaging model is simplified into a convolution approximation model, and a computationally efficient deconvolution optimization-based NLOS imaging (DO-NLOS) method is proposed to provide noise-robust reconstructions from under-scanning measurements. …”
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Interface Engineering Toward Surface‐Activated Catalysts for Advanced Li–CO2 Batteries by Yanze Song, Bingyi Lu, Zhiwen Min, Haotian Qu, Yingqi Liu, Rui Mao, Yanli Chen, Yuanmiao Sun, Guangmin Zhou

“…Benefiting from the enhanced charge transfer ability, the designed highly efficient catalyst with dual active centers and large exposed catalytic area can maintain an ultra‐small voltage gap of 0.33 V and high energy efficiency of 90.2%. …”
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Improved Charge Carrier Dynamics by Unconventional Doping Strategy for BiVO4 Photoanode by Jiseok Kwon, Heechae Choi, Seunggun Choi, Jooheon Sun, Hyuksu Han, Ungyu Paik, Junghyun Choi, Taeseup Song

“…Bismuth vanadate (BiVO4) is one of the promising photoanodes for solar fuel production, but it faces the challenge of poor charge separation due to its sluggish charge transport and short diffusion length. The ability to regulate charge separation is pivotal for obtaining high efficiency of BiVO4. …”
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Development of Defect-Rich WO_3-x/TiO₂ Heterojunction Toward Dual-Functional Enhancement: Boosting SERS and Photocatalytic Performance by Xunfei He, Yinyan Gong, Lengyuan Niu, Can Li

“…Nevertheless, their low enhancement ability compared to noble metals makes it desirable to explore strategies for improving SERS performance. …”
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Intelligence data acquisition based on embedded system in Chinese cuisine cooker (CCICR V1.0) by Jianbao Zhang, Deyi Wang, Shiping Bao, Xin Chang, Yi Liang

“…This leads to an increase in automation efficiency of 89.9%. The weighing module demonstrates a maximum relative error of only 0.288%, while the attitude sensor experiment shows an attitude information error of just 0.22°C. …”
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A Semi-Supervised Attention-Temporal Ensembling Method for Ground Penetrating Radar Target Recognition by Li Liu, Dajiang Yu, Xiping Zhang, Hang Xu, Jingxia Li, Lijun Zhou, Bingjie Wang

“…Ground penetrating radar (GPR) is an effective and efficient nondestructive testing technology for subsurface investigations. …”
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Machine-Learning-Driven Approaches for Assessment, Delegation, and Optimization of Multi-Floor Building by Abtin Baghdadi, Harald Kloft

“…Optimization is performed using Multi-Objective Particle Swarm Optimization (MOPSO), enabling efficient exploration of Pareto-optimal solutions that balance deformation and material usage. …”
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Hybrid Deep Learning for Human Fall Detection: A Synergistic Approach Using YOLOv8 and Time-Space Transformers by Yousef Sanjalawe, Salam Fraihat, Mosleh Abualhaj, Salam R. Al-E'Mari, Emran Alzubi

“…Furthermore, the system maintains computational efficiency, making it suitable for real-time deployment in healthcare and smart home environments. …”
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Development and laboratory validation of an LVDC back-to-back system with residential inverter, PV, and battery-based power generation by Zaid Ali, David Raisz

“…Thorough simulations in Simulink and laboratory validations through a rapid prototyping platform, demonstrate the system’s ability to deliver stable and efficient power in both operational modes. …”
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Advancements in Landmine Detection: Deep Learning-Based Analysis With Thermal Drones by Daniel Heuschmid, Oliver Wacker, Yannick Zimmermann, Pascal Penava, Ricardo Buettner

“…The pervasive threat of landmines across conflict-affected regions necessitates advancements in detection technologies to enhance safety and efficiency in demining efforts. Furthermore, the development of a solution that can be effectively utilized in both resource-rich and resource-poor environments is essential, as many conflict-affected regions lack the financial means or technical infrastructure to deploy expensive and complex detection technologies. …”
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New design of an intelligent electromagnetic torque controller based on neural network and fractional calculus: Variable-speed wind energy systems application by Yattou El Fadili, Ismail Boumhidi

“…To achieve high efficiency of the electricity production for wind turbines, an improved controller has a crucial role in achieving this goal by capturing the most wind energy based on the maximum power point tracking approach. …”
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Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization by Muhammad Suhail Shaikh, Chang Wang, Senlin Xie, Gengzhong Zheng, Xiaoqing Dong, Shuwei Qiu, Mohd Ashraf Ahmad, Saurav Raj

“…Abstract Efficient network coverage and connectivity in wireless sensor networks (WSNs) is critical for modern data-driven applications requiring seamless data collection and transmission. …”
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Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods by V. K. Rezvanov, O. M. Romakina, E. V. Zaytseva

“…The proposed model is efficient and has a high predictive ability. High-quality forecasting of delivery time is possible without the use of extensive databases and powerful computing resources. …”
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Enhanced Thermal Properties of Composite Phase Change Material by Polydopamine-Driven Cu Nanoparticles by Peng Liu, Dongji Wu, Teng Xiong, Xi Cao, Zhonghui Tan, Wenye Lin, Ming Gao, Osman Gencel, Amin Shahsavar, Ahmet Sari, Xiaobin Gu

“….% PW exhibited no leakage, a prominent solar–thermal conversion ability, and a high thermal conductivity. The PW/DT/PDA/Cu SSPCM demonstrated a thermal conductivity of 1.115 W·m−1·K−1, which was up to 3.83 times larger than that of pure PW, and a pronounced photothermal conversion efficiency of 88.27%. …”
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A new approach for improving dynamic fault ride through capability of gridctied based wind turbines by Shoaib Ahmed Dayo, Ahsanullah Memon, Zeeshan Anjum Memon, Touqeer Ahmed Jumani, Ghulam Abbas, Salwa Othmen, Amr Yousef, Andika Aji Wijaya

“…The crowbar protection mechanism is an efficient strategy to reduce fault impacts on DFIGs. …”
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Using a deep learning neural network to predict flight path by Oleksandr Bezsonov, Serhii Liashenko, Oleg Rudenko, Sofiia Rutska, Kateryna Vashchenko

“…The integration of LSTM enabled efficient learning and generalization of temporal data, capturing complex motion patterns and interactions with the environment. …”
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Rice Husk as a Sustainable Amendment for Heavy Metal Immobilization in Contaminated Soils: A Pathway to Environmental Remediation by Riccardo Cecire, Aleandro Diana, Agnese Giacomino, Ornella Abollino, Paolo Inaudi, Laura Favilli, Stefano Bertinetti, Simone Cavalera, Luisella Celi, Mery Malandrino

“…The growth of both plants was more efficient in the presence of rice husk due to its ability to reduce the mobility of heavy metals in the soil. …”
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Microbial Protein and Metabolite Profiles of <i>Klebsiella oxytoca M5A1</i> in a Bubble Column Bioreactor by Tawakalt Ayodele, Musiliu Liadi, Abodunrin Tirmidhi Tijani, Kudirat Alarape, Christiana Bitrus, Clairmont L. Clementson, Ademola Hammed

“…This research compares the performance of a simple bubble column (BC) bioreactor, which promotes efficient mixing and cross-membrane gas transfer, with static fermentation, a traditional method lacking agitation and aeration. …”
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