Collaborative Optimization of Model Pruning and Knowledge Distillation for Efficient and Lightweight Multi-Behavior Recognition in Piglets by Yizhi Luo, Kai Lin, Zixuan Xiao, Yuankai Chen, Chen Yang, Deqin Xiao

“…In the third stage, using YOLOv8-GDA as the teacher model and YOLOv8-Prune as the student model, knowledge distillation is employed to further enhance detection accuracy, thus obtaining the YOLOv8-Piglet model, which strikes a balance between the detection accuracy and speed. …”
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Conscious and unconscious perception of pitch shifts in auditory feedback during vocalization: Behavioral functions and event-related potential correlates by Daniel Suchý, Roozbeh Behroozmand, Henry Railo

“…During vocalization, mismatches between expected and perceived auditory feedback are processed rapidly and automatically, suggesting that feedback control of vocalization operates unconsciously. …”
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YOLO-BCD: A Lightweight Multi-Module Fusion Network for Real-Time Sheep Pose Estimation by Chaojie Sun, Junguo Hu, Qingyue Wang, Chao Zhu, Lei Chen, Chunmei Shi

“…Comparative evaluations demonstrate significant improvements over baseline models, achieving 91.7% recognition accuracy with 389 FPS processing speed while maintaining 19.2% parameter reduction and 32.1% lower computational load compared to standard YOLOv8. …”
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Automatic Maize Leaf Disease Recognition Using Deep Learning by Muhammet Çakmak

“…Therefore, computer-aided diagnostic systems offer a promising solution for disease detection issues. While traditional machine learning methods require perfect manual feature extraction for image classification, deep learning networks extract image features autonomously and function without pre-processing. …”
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64QAM Vector Radio-Frequency Signal Generation Based on Phase Precoding and Optical Carrier Suppression Modulation by Ze Dong

“…We propose a 64-quadrature-amplitude-modulation (QAM) vector radio-frequency (RF) signal generation and detection via one intensity Mach–Zehnder modulator (MZM) by using optical carrier suppression modulation. …”
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Title not available by Silvia R. D. T. de Siqueira, Mariana Siviero, Fábio K. Alvarez, Manoel J. Teixeira, José T. T. de Siqueira

“…Cold, warm, and tactile detections and pain thresholds were similar among the groups. …”
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Social Group Architecture Based Distributed Ride-Sharing Service in VANET by Weicheng Zhao, Yajuan Qin, Dong Yang, Linjuan Zhang, Wanting Zhu

“…VSGA messages figure out the traffic conditions through a multilevel detection. After generating VSGA messages, the final matching strategy is processed. …”
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Enhanced Skin Lesion Segmentation and Classification Through Ensemble Models by Su Myat Thwin, Hyun-Seok Park

“…This study addresses challenges in skin cancer detection, particularly issues like class imbalance and the varied appearance of lesions, which complicate segmentation and classification tasks. …”
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Device for online monitoring of insulation faults in high-voltage switchgears by Jiajia Song, Jinbo Zhang, Xinnan Fan

“…The current spectrum and the O 3 produced by partial discharge were processed via fast Fourier transform for accurate diagnosis of the occurrence of partial discharge and its severity in switchgears. …”
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Scientific mapping of artificial intelligence (AI) assisted applications in historical building conservation by İzzettin Kutlu

“…In the study, structural damage detection techniques performed using AI-assisted image processing techniques are summarized, and deep learning techniques applied, especially in the conservation of heritage sites, are detailed. …”
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Damage Identification Using Meta-Lens and Dual-Enhanced Backscattered Waves: Numerical and Experimental Design by Jiahui SHI, Gabriele Cazzulani, Claudio Sbarufatti

“…The findings underscore the significant potential of employing the Meta-lens for damage detection, thereby eliminating the reliance on intricate sensor networks and complex signal post-processing. …”
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Snow Depth Extraction From Time‐Lapse Imagery Using a Keypoint Deep Learning Model by C. M. Breen, W. R. Currier, C. Vuyovich, Z. Miao, L. R. Prugh

“…However, current approaches for extracting snow depth from snow poles typically relies on time intensive manual photo processing. By integrating computer vision algorithms with snow pole photography, we present a method that uses a keypoint detection model to automatically observe snow height across a network of sites. …”
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Quantitative determination of cyclic guanosine monoposphate (c-GMP) in rat tissues using liquid chromatography and tandem mass spectrometry by N. S. Popov, V. Yu. Balabanyan, N. Yu. Kolgina, G. A. Petrov, S. A. Donskov, I. B. Atadzhanov

“…Cyclic 3′,5′-guanosine monophosphate is a secondary intracellular messenger that plays a key role in many physiological processes.Quantitative determination of the level of c-GMP in the tissues of laboratory animals is an urgent task of experimental pharmacology and physiology.Purpose of the study. …”
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Crowd Evacuation in Stadiums Using Fire Alarm Prediction by Afnan A. Alazbah, Osama Rabie, Abdullah Al-Barakati

“…This study introduces an AI-driven predictive fire alarm and evacuation model that leverages machine learning algorithms and real-time environmental sensor data to anticipate fire hazards before ignition, improving emergency response efficiency. To detect early fire risk indicators, the system processes data from 62,630 sensor measurements across 15 ecological parameters, including temperature, humidity, total volatile organic compounds (TVOC), CO₂ levels, and particulate matter. …”
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Altered glycosylation of EVs in cancers: galectin-3-binding protein (LGALS3BP) by Jie-Yi Koh Kok, Bey-Hing Goh, Wai-Leng Lee

“…Glycans, crucial components of EVs, undergo glycosylation, a key post-translational modification (PTM) involved in many biological processes. Aberrant glycosylation is linked to disease, particularly cancer. …”
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Classification and Recognition of Soybean Quality Based on Hyperspectral Imaging and Random Forest Methods by Man Chen, Zhichang Chang, Chengqian Jin, Gong Cheng, Shiguo Wang, Youliang Ni

“…This study demonstrates the feasibility of using hyperspectral imaging technology for the rapid and accurate detection of soybean components, providing technical support for the assessment of breakage and impurity levels during soybean harvesting and storage processes. …”
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Region-Based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT by Priyanka Singh, K. Jyothsna Devi, Hiren Kumar Thakkar, Ketan Kotecha

“…The evaluation results demonstrate that the proposed scheme has high imperceptibility, robustness, security, payload, tamper detection, and recovery accuracy under image processing attacks. …”
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The Project of an Autonomous Microboat with a Laser Device for Estimation of Water Area Pollution by Microplastic by V. A. Alekseev, S. I. Yuran, M. R. Zaripov, V. P. Usoltsev

“…Therefore, study of the water areas for the presence of plastic with the identification of extensive pollution sites in real time is actual.The project of an autonomous unmanned research vehicle operating in water area and transferring the research data to the information processing center is discussed in the article. The device produces laser probing of the aquatic environment to detect polyethylene microparticles and to build maps of pollution sites in the studied water area.To implement the proposed project, the following tasks are solved:detection of plastic microparticles in the studied volume of the water environment where particle sizes are several orders of magnitude smaller than the studied water volume;identification of microparticles in presence of particles of other types of substances in the investigated water environment volume;estimation of the number particles’ in the studied water environmentA new approach which consists in creating an autonomous microboat that explores the water area along a route set from a control center located on the shore is proposed. …”
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Deep learning algorithm for the automatic assessment of axial vertebral rotation in patients with scoliosis using the Nash–Moe method by Jeoung Kun Kim, Ming Xing Wang, Donghwi Park, Min Cheol Chang

“…The framework comprises a vertebra detection model (864 training and 216 validation images) and a pedicle detection model (14,608 training and 3652 validation images). …”
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Multiphysics Coupling Model of Rock Mass considering Damage and Disturbance and Its Application by Wei Wang, Zhouquan Luo, Yaguang Qin, Jun Xiang, Lei Wen, Shaowei Ma

“…On this basis, an improved multiphysics coupling model that considered damage and disturbance was constructed, while a corresponding finite element calculation program was developed. Taking an excavation stope as the object, the characteristics of the mining-induced stress, seepage, and failure were analyzed by an improved multiphysics coupling model and compared with actual detection data. …”
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