Optimization Driven Variational Autoencoder GAN for Artifact Reduction in EEG Signals for Improved Neurological Disorder and Disability Assessment by Sikkandar Mohamed Yacin, Sabarunisha Begum S., Alassaf Ahmad, AlMohimeed Ibrahim, Alhussaini Khalid, Aleid Adham, Alhaidar Abdulrahman Khalid

“…EEG signals are critical for the diagnosis of neurological disorders, for brain-computer interface (BCI) applications, and for the monitoring of neurological disabilities. …”
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An Advanced Method for Precise ULA SIMO Radar Calibration Utilizing Synthetic Aperture Radar Imaging Artifacts by Michael Braunwarth, Johanna Geiss, Erik Sippel, Martin Vossiek

“…The demand for high-resolution radars, particularly in automotive applications, necessitates increasing carrier frequencies, bandwidths, synthetic apertures, and channel counts, imposing exceptionally high calibration requirements. …”
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Assessment of High-resolution Local Emissions and Land-use in Air Quality Forecasting at an Urban, Coastal, Desert Environment by Christos Fountoukis, Yasir Mohieldeen, Luis Pomares, Ivan Gladich, Azhar Siddique, Adam Skillern, Mohammed A. Ayoub

“…The ability of the model to forecast the air quality health index in this urban, coastal, hot desert climate is encouraging for future applications of this modeling platform as an early warning system (EWS).…”
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Development and cross‐cultural validation of the Japanese version of the Adjustment Disorder‐New Module‐20 by Atsuo Nakagawa, Dai Mitsuda, Yusuke Umegaki, Rahel Bachem, Waka Nogami, Ryotaro Higuchi, Aoi Ito, Hiroki Kocha

“…Further studies involving clinical populations are warranted to confirm its applicability in clinical settings.…”
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Recent Advancements in Artificial Intelligence in Battery Recycling by Subin Antony Jose, Connor Andrew Dennis Cook, Joseph Palacios, Hyundeok Seo, Christian Eduardo Torres Ramirez, Jinhong Wu, Pradeep L. Menezes

“…This paper reviews the latest developments in AI applications for battery recycling, focusing on methodologies, challenges, and future directions. …”
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Enhancing Aerosol Vertical Distribution Retrieval With Combined LSTM and Transformer Model From OCO-2 O2 A-Band Observations by YuXuan Wang, RuFang Ti, ZhenHai Liu, Xiao Liu, HaiXiao Yu, YiChen Wei, YiZhe Fan, YuYao Wang, HongLian Huang, XiaoBing Sun

“…To enhance the algorithm's applicability, the model was applied across the entire African continent and adjacent water bodies. …”
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A High‐Performance Miniaturized Frequency Shift Detection System for QCM‐Based Gravimetric Sensing by Chenyang Gao, Shuyu Fan, Wei Li, Yongbing Wang, Qianwen Xia, Dibo Hou, Yunqi Cao

“…However, such bulky and high‐cost instruments undoubtedly hinder the applications of QCM‐based sensors outside the laboratory such as in situ and portable detection. …”
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Accuracy Testing of Torque Limit Determination Algorithm Intended for Smart Bone Screwdrivers by Jack A. Wilkie, Alberto Battistel, Paul D. Docherty, Niklaus F. Friederich, Georg Rauter, Knut Möller

“…These outcomes demonstrate the viability and significance of this concept in general, although more development and testing is required for broad clinical applicability; such tests would be extended for more types of bone screws and use a large set of human bone samples to better reflect the natural variability.…”
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Paying attention to distortion: improving the accuracy of multistep-ahead carbon price forecasting with shape and temporal criteria by Tong Niu, Yuan Chen, Tao Li, Shaolong Sun, Weigang Zhao, Mingjian Cui, Jiakang Wang, Shiyu Han, Jiujiang Li, Yunkai Zhai

“…However, current state-of-the-art carbon price forecasting models, which are trained primarily via the mean squared error loss function, struggle to deliver precise and timely forecasts. …”
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Magnetic Particle-Based Automated Chemiluminescence Immunoassay for the Determination of Hydrocortisone Residues in Milk by Yuan-Yuan Yang, Bao-Zhu Jia, Zhen-Lin Xu, Yi-Xian Liu, Lin Luo

“…Automated operations reduce human error and enhance the accuracy and repeatability of tests. …”
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Rapid and Accurate Prediction of the Melting Point for Imidazolium-Based Ionic Liquids by Artificial Neural Network by Xinyu Liu, Jie Yin, Xinmiao Zhang, Wenxiang Qiu, Wei Jiang, Ming Zhang, Linhua Zhu, Hongping Li, Huaming Li

“…Among these, the melting point is key to their excellent performance in applications such as catalysis, biomass processing, and energy storage, where stability and operational temperature range are critical. …”
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Occupancy Monitoring Using BLE Beacons: Intelligent Bluetooth Virtual Door System by Nasrettin Koksal, AbdulRahman Ghannoum, William Melek, Patricia Nieva

“…Occupancy monitoring (OM) and the localization of individuals within indoor environments using wearable devices offer a very promising data communication solution in applications such as home automation, smart office management, outbreak monitoring, and emergency operating plans. …”
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Statistical thermal study of ternary hybrid nanofluid flow in coaxial cylinder: artificial neural network approach by s Manjunatha, Khalil Ur Rehman, Wasfi Shatanawi, Tanuja T N

“…The objective of this study is to examine heat and mass transfer aspects of ternary nanofluid flow in coaxial cylinder under the influence of Arrhenius activation energy, microorganisms’ concentration and bioconvection Peclet number, which a pivotal rolet in various scientific and engineering applications. The flow of ternary nanofluid is caused due to stretching inner cylinder with stationary outer cylinder. …”
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Development of a novel concentrated solar-powered material extrusion system for producing printed circuit assemblies by Alejandro Jaramillo-Mora, Armando Rojas-Morín, Sergio Quezada-García, Gabriel Jaramillo-Soto, Adrián Espinosa-Bautista, Jesús Rafael Gonzalez-Parra, Yolanda Flores-Salgado, Arturo Barba-Pingarrón

“…The obtained function describes the experimental equipment's behavior and has an average relative error of 12.6 % compared with the measured material's temperature at the depositing needle's exit. …”
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Evaluation of Photoplethysmography-Based Monitoring of Respiration Rate During High-Intensity Interval Training: Implications for Healthcare Monitoring by Marjolein Muller, Kambiz Ebrahimkheil, Tara Vijgeboom, Casper van Eijck, Eelko Ronner

“…The PPG algorithm for RR monitoring showed an average root mean square (Arms) error of 2.13 breaths per minute (brpm), a bias of −0.09 brpm, and limits of agreement (LoA) from −4.28 to 4.09 brpm. …”
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Ship path planning and tracking based on rapidly exploring random tree star and convex optimization by Chang ZHOU, Te YU, Jiapeng LIU, Dihua LU, Qingshan ZENG

“…ResultsSimulation results demonstrate that using this algorithm, ships can achieve efficient path planning and trajectory tracking, with path search time less than 2×10−5 s, path optimization time less than 0.5 seconds, and trajectory tracking absolute error less than 0.75 m. ConclusionsSimulation results indicate that the proposed path planning and tracking algorithm ensures effective path search and optimization for ships, providing a foundation for further research and industrial applications of autonomous surface vehicles.…”
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Image Transmission Utilizing Amplitude Modulation in Rydberg Atomic Antenna by Peng Zhang, Shaoxin Yuan, Mingyong Jing, Jinpeng Yuan, Hao Zhang, Linjie Zhang

“…The utilization of distinct Rydberg quantum states facilitates achieving an ultra-wideband measurement response across various microwave frequency bands, offering extensive applications in wireless communication, radar positioning, astronomical observation, and related domains. …”
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LLM-enhanced disaster geolocalization using implicit geoinformation from multimodal data: A case study of Hurricane Harvey by Wenping Yin, Yong Xue, Ziqi Liu, Hao Li, Martin Werner

“…These findings confirm the potential of LLMs in enhancing geolocalization by considering implicit geoinformation from multimodal data for future disaster response and broader GeoAI applications.…”
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Nonlinear dynamics of laminar flow in porous channels: Effects of wall dilation and inertial–viscous interplay by Mahmmoud M. Syam, M. Alabdul Razzak, Hossam R. Ammar, Sally Suhel Aldeleh

“…The method achieved an L2-truncation error on the order of 10−14, outperforming traditional numerical solvers such as BVP4C, RKF45, and VIM. …”
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A method of urban high-precision DEM construction based on point cloud model by Weibo Zeng, Xiaoxiao Zhang, Shuangxi Gu, Ran Zhang, Lele Yu, Yijun Zhou, Yuqing Zhuo

“…This paper presents a case study of Chuzhou University in Anhui Province and proposes a construction method applicable to urban high-precision DEM by leveraging the distinctive attributes of point cloud models, including high precision, high resolution, and rich texture information. …”
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