Privacy-Preserving Data Sharing in Telehealth Services by Ammar Odeh, Eman Abdelfattah, Walid Salameh

“…Telehealth services, while providing immense benefits in terms of accessibility and efficiency, introduce complex challenges in maintaining data privacy and security. …”
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Experimental Optimization of the Energy Characteristics of a Ground Penetrating Radar with Continuous Linear-Frequency-Modulated Radiation by I. Yu. Malevich, A. S. Lopatchenko

“…The conducted studies will improve the energy characteristics of ground penetrating radars with continuous LFM radiation by increasing the detection efficiency of shallow and near-surface objects.…”
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Deep neural network modeling for brain tumor classification using magnetic resonance spectroscopic imaging. by Erin B Bjørkeli, Knut Johannessen, Jonn Terje Geitung, Anna Karlberg, Live Eikenes, Morteza Esmaeili

“…Given the significant health risks associated with brain tumors, the necessity for early and accurate detection is crucial for effective treatment. While conventional MRI techniques encounter limitations in the rapid and precise spatial evaluation of diffuse gliomas, both accuracy and efficiency are often compromised. …”
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Comparison of Extraction Techniques for Wide Screening of 230 Pesticides in Water by Caterina Cacciatori, Jackie Myers, Giulio Mariani, Hung Vu, Bernd Manfred Gawlik, Vincent Pettigrove

“…The two extraction techniques were compared, among others, for their limits of detection, recovery, extraction, and quantification efficiency of pesticides, as well as spatial and temporal differences in detected compounds. …”
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Determining Novice and Expert Status in Human–Automation Interaction Through Hidden Markov Models by Anne French, Mary L. Cummings, Haibei Zhu, Miroslav Pajic

“…Recognizing operator expertise becomes instrumental in resource optimization and training efficiency. This study explores a modeling framework for real-time analysis of HAI operator behavior and strategies. …”
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Detour-Straddle 3D-like path planning of unmanned mining truck in open pit mines based on optimized ant colony algorithm by Mingyu GAO, Jiusheng BAO, Yan YIN, Deping HU, Kekun ZHANG, Chenzhong ZHU, Maosen WANG, Kai WANG

“…Secondly, taking unmanned mining truck as the research object, a 3D collision detection method is designed, which can judge the conflict relationship between obstacles and vehicle body in the horizontal and vertical aspects respectively, and according to the structural characteristics of mining truck and road conditions, a parallel crossing strategy is developed to directly cross over obstacles that are not threatening to vehicles, which can effectively improve the passing efficiency of mining truck under the premise of ensuring safety. …”
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Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals’ perspectives in the UK by Saoudi CE Nouis, Victoria Uren, Srushti Jariwala

“…Results Participants reported notable gains in diagnostic efficiency and resource allocation, underscoring AI’s potential to reduce turnaround times for routine tests and enhance detection of abnormalities. …”
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An In-Depth Study of Personalized Anesthesia Management Models in Gastrointestinal Endoscopy Based on Multimodal Deep Learning by Hanqi Shi, Hongyu Wang, Xibing Ding, Zheng Dang

“…This model was designed to enhance anesthesia management efficiency and disease detection rates. In collaboration with the Department of Anesthesiology at Renji Hospital, which is affiliated with the Shanghai Jiao Tong University School of Medicine, data pertaining to anesthesia were collected from 398 patients, who were undergoing gastrointestinal endoscopy. …”
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Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

“…Overall, this review outlines current innovations and future research directions essential for advancing personalized, efficient, and accessible fertility care.…”
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FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images. by Nicholas T Gigliotti, Justin Lee, Emily H Mang, Giancarlo R Zambrano, Mitra L Taheri

“…The extracellular matrix (ECM) is a complex network of biomolecules that plays an integral role in the structure, processes, and signaling mechanisms of cells and tissues. …”
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A lightweight certificateless aggregate signature scheme without pairing for VANETs by Qiuling Yue, Weijian Jiang, Hong Lei

“…Abstract In the secure vehicular ad-hoc networks (VANETs), certificateless aggregate signature schemes(CLAS) have attracted more and more attention because they can efficiently implement message aggregation and authentication without complex certificate management. …”
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Current Tasks in Identifying Invalid Events in Critical Information Infrastructure by D. A. Evdokimova, A. A. Mikryukov

“…Problems related to large data volumes, the complexity of event processing, the considerable time required for their detection, and technological limitations were considered. …”
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UAV-FAENet: Frequency-Aware and Attention-Enhanced Network for Remote Sensing Semantic Segmentation of UAV Imagery by Dongbo Zhou, Huan Wang, Shiyan Pang, Di Chen, Huang Yao, Jie Yu

“…To address these issues, this article proposes a lightweight and efficient semantic segmentation network for UAV remote sensing images, named UAV-FAENet, aiming to improve the detection accuracy of small targets and the quality of edge segmentation. …”
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Digital Image Copyright Protection and Management Approach—Based on Artificial Intelligence and Blockchain Technology by Jikuan Xu, Jiamin Zhang, Junhan Wang

“…It introduces an originality detection model based on deep learning technology after conducting both off-chain and on-chain detection of unidentified images, providing triple protection for digital image copyright infringement detection and enabling efficient active defense and passive evidence storage. …”
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Dual SPE–HPLC–MS/MS Platform for Cross-Class Antiparasitic Surveillance: Simultaneous Quantification of Oxyclozanide and Levamisole Hydrochloride in Ovine Tissues with Applications... by Guonian Dai, Xuzheng Zhou, Weiwei Wang, Bintao Zhai, Jiang Li, Yangling Liu, Yong Zhang, Jiyu Zhang

“…Leveraging dual solid-phase extraction strategies—MAX anion-exchange for lipophilic OXY and MCX cation-exchange for hydrophilic LEV—we achieved efficient purification of these pharmacokinetically divergent compounds from complex matrices (muscle, liver, kidney, and perirenal adipose). …”
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A review of sound-based pig monitoring for enhanced precision production by Md Nasim Reza, Md Razob Ali, Md Asrakul Haque, Hongbin Jin, Hyunjin Kyoung, Young Kyoung Choi, Gookhwan Kim, Sun-Ok Chung

“…The integration of machine learning and artificial intelligence (AI) is further enhancing the capacity to interpret complex sound patterns, enabling the automated detection of abnormal behaviors or health issues. …”
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Classifying office workers with and without cervicogenic headache or neck and shoulder pain using posture-based deep learning models: a multicenter retrospective study by Ui-jae Hwang, Junghun Han, Oh-yun Kwon, Yu Seong Chu, Sejung Yang, Sejung Yang

“…Three deep learning models (VGG19, ResNet50, and EfficientNet B5) were trained and evaluated to classify the CH, NSP, and combined CH + NSP. …”
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Advances in enhancing hydrodeoxygenation selectivity of lignin-derived oxygenates: From synthetic strategies to fundamental techniques by Xinru Wu, Hongwei Zhang, Cejun Hu, Xiaojun Bao, Pei Yuan

“…A promising solution to this challenge lies in the efficient removal of oxygen-containing functional groups from LDOs through hydrodeoxygenation (HDO), aiming to yield biomass products with singular components. …”
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Challenges and opportunities to integrate artificial intelligence in radiation oncology: a narrative review by Chiyoung Jeong, YoungMoon Goh, Jungwon Kwak

“…AI can improve the precision, efficiency, and outcomes of radiation therapy by optimizing treatment planning, enhancing image analysis, facilitating adaptive radiation therapy, and enabling predictive analytics. …”
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Transfer Learning Empowered Multiple‐Indicator Optimization Design for Terahertz Quasi‐Bound State in the Continuum Biosensors by Shengfeng Wang, Bingwei Liu, Xu Wu, Zuanming Jin, Yiming Zhu, Linjie Zhang, Yan Peng

“…Abstract Terahertz metasurface biosensors based on the quasi‐bound state in the continuum (QBIC) offer label‐free, rapid, and ultrasensitive biomedical detection. Recent advances in deep learning facilitate efficient, fast, and customized design of such metasurfaces. …”
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