Sorting misorganized books in libraries based on ant colony algorithm by Ling Chen

“…In the anti-noise interference test, the algorithm reduced the false detection rate of the Aerial dataset from 22.3 % of ACO to 9.8 % through the neighborhood gray-scale fusion mechanism of two-dimensional OTSU. …”
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Laser Writing of GaN/Ga2O3 Heterojunction Photodetector Arrays by Pengxiang Sun, Xun Yang, Kexue Li, Zhipeng Wei, Wei Fan, Shaoyi Wang, Weimin Zhou, Chongxin Shan

“…The GaN/Ga2O3 heterojunctions exhibit good reproducibility, uniformity, and ability to operate under zero bias, with a responsivity of 110.22 mA W−1, a detection rate of 5.56 × 1011 jones, and an external quantum efficiency of 42.34%. …”
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Unveiling Electrochemical Frontiers: Enhanced Hydrazine Sensing with Na₃[Fe(CN)₅(PZT)] Modified Electrodes by Kalil Cristhian Figueiredo Toledo, Juliano Alves Bonacin

“…Unlike conventional Prussian blue analogues, this system exhibits enhanced electrocatalytic properties due to its unique ligand framework, which contributes to increased charge transfer efficiency and stability. The complex was synthesized via a controlled ligand substitution reaction, followed by UV-Vis and IR spectroscopy confirmation of its successful formation. …”
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IECAU-Net: A Wood Defects Image Segmentation Network Based on Improved Attention U-Net and Attention Mechanism by Yingda Dong, Chunguang He, Xiaoyang Xiang, Yuhan Cui, Yongkang Kang, Anning Ding, Huaqiong Duo, Ximing Wang

“…Due to the heavy workload, low efficiency, and low accuracy of manual inspection, traditional machine learning methods have strong specialization, complex methods, and high costs. …”
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Transformer-based InspecNet for improved UAV surveillance of electrical infrastructure by Jiangtao Guo, Shu Cao, Tao Wang, Kai Wang, Jingfeng Xiao, Xinxin Meng

“…Unmanned Aerial Vehicles have emerged as vital tools for aerial inspections, offering flexibility, efficiency, and cost-effectiveness. A significant challenge in UAV surveillance is the precise detection of damaged electrical components, particularly in complex environments where numerous objects are in close proximity that may cause hazards. …”
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Pseudo-LiDAR With Two-Dimensional Instance for Monocular Three-Dimensional Object Tracking by Rui Gao, Junoh Kim, Phuong Minh Chu, Kyungeun Cho

“…This uncertainty poses additional challenges to object tracking as well, making performing stable multiple-object tracking on monocular 3D detection results more complex and difficult. To address these challenges in monocular 3D multiple-object detection and tracking, we propose the innovative framework pseudo-LiDAR-MOT, which accurately infers complete 3D bounding box information from 2D image sequences captured by a monocular camera and efficiently correlates and tracks moving objects in the temporal dimension. …”
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OPTIMIZING LONG TEXT CLASSIFICATION PERFORMANCE THROUGH KEYWORD-BASED SENTENCE SELECTION: A CASE STUDY ON ONLINE NEWS CLASSIFICATION FOR INDONESIAN GDP GROWTH-RATE DETECTION by Dinda Pusparahmi Sholawatunnisa, Lya Hulliyyatus Suadaa

“…Efficiently managing lengthy textual data, particularly in online news, is crucial for enhancing the performance of long text classification. …”
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Development and validation of a hierarchical machine learning method using MALDI-TOF mass spectrometry for rapid SCCmec typing and PVL detection in MRSA: a multi-centre study by Tai-Han Lin, Ming-Jr Jian, Fujiko Mitsumoto-Kaseida, Norihito Kaku, Hsing-Yi Chung, Chih-Kai Chang, Cherng-Lih Perng, Yung-Chih Wang, Chih-Chien Wang, Yuan-Hao Chen, Katsunori Yanagihara, Hung-Sheng Shang

“…This study aimed to develop an artificial intelligence-clinical decision support system (AI-CDSS) to streamline MRSA genotyping and PVL detection, providing a more efficient alternative to complex PCR-based workflows.Methods We retrospectively analysed 345,748 bacterial specimens collected from five healthcare institutions between 2010 and 2024. …”
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A fuzzy-optimized multi-level random forest (FOMRF) model for the classification of the impact of technostress by Gabriel James, Ifeoma, David, John, Samuel, Enefiok, Imeh Umoren, Ubong Etuk, Aloysius, Anietie, Saviour, Chikodili

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Combination of solid-liquid hollow fiber liquid phase microextraction method with electromembrane extraction for extraction of Tolmetin and its determination followed by high perfo... by Samaneh Niazipour, Jahan Bakhsh Raoof, Milad Ghani, Reza Ojani

“…Additionally, the method attained a Blue Applicability Grade Index (BAGI) score of 67.5, confirming its high applicability and resource-efficient design. Conclusion: This approach offers high sensitivity, short extraction time, and excellent selectivity and reproducibility, making it well suited for trace analysis of tolmetin in complex matrices.…”
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Tree Species Detection and Enhancing Semantic Segmentation Using Machine Learning Models with Integrated Multispectral Channels from PlanetScope and Digital Aerial Photogrammetry i... by Arun Gyawali, Mika Aalto, Tapio Ranta

“…This study aimed to detect and classify young forest tree species using remote sensing imagery and machine learning techniques. …”
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Edge-YOLO: Lightweight Multi-Scale Feature Extraction for Industrial Surface Inspection by Wang Guiqiang, Chen Junbao, Li Chengzhang, Lu Shuo

“…The increasing complexity of industrial quality control necessitates advanced defect detection systems capable of identifying small-scale surface anomalies with high precision. …”
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Applications and Prospects of CRISPR/Cas9 Technology in the Breeding of Major Tropical Crops by Lixia Zhou, Xianhai Zeng, Yaodong Yang, Rui Li, Zhihao Zhao

“…However, the modern molecular breeding of these crops is severely hampered by their biological characteristics and genetic complexity. Issues such as polyploidy, heterozygosity, vegetative propagation, long juvenile periods, and large plant sizes result in time consuming, low efficiency, and slow progress in conventional breeding of the major tropical crops. …”
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ChipletQuake: On-Die Digital Impedance Sensing for Chiplet and Interposer Verification by Saleh Khalaj Monfared, Maryam Saadat Safa, Shahin Tajik

“…The increasing complexity and cost of manufacturing monolithic chips have driven the semiconductor industry toward chiplet-based designs, where smaller, modular chiplets are integrated onto a single interposer. …”
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Monitoring Anthropogenically Disturbed Parcels with Soil Erosion Dynamics Change Based on an Improved SegFormer by Zhenqiang Li, Jialin Li, Jie Li, Zhangxuan Li, Kuncheng Jiang, Yuyang Ma, Chuli Hu

“…Currently, traditional methods for change detection, such as field surveys and visual interpretation, suffer from time inefficiencies, complexity, and high resource consumption. …”
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Development and Comparison of Interrupt-Based and Analog-to-Digital Converter Algorithms for Seed Counting in Precision Planters by A. Ghaffarnezhad, H. Navid, H. Karimi

“…Both developed circuits featured the deployment of the STM32F103C8T6 microcontroller, renowned for its robust capabilities and cost efficiency.In the interrupt-based algorithm's development, the microcontroller's external interrupt was used, selecting its sensitivity to detect both rising and falling edges. …”
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Machine Learning in Active Power Filters: Advantages, Limitations, and Future Directions by Khaled Chahine

“…Machine learning (ML) techniques have permeated various domains, offering intelligent solutions to complex problems. ML has been increasingly explored for applications in active power filters (APFs) due to its potential to enhance harmonic compensation, reference signal generation, filter control optimization, and fault detection and diagnosis. …”
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A comparative study of neural network pruning strategies for industrial applications by Amirhossein Douzandeh Zenoozi, Laura Erhan, Antonio Liotta, Lucia Cavallaro

“…IntroductionIn recent years, Deep Learning (DL) and Artificial Neural Networks (ANNs) have transformed industrial applications by providing automation in complex tasks such as anomaly detection and predictive maintenance. …”
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Validation of a comprehensive long-read sequencing platform for broad clinical genetic diagnosis by Siddhartha Sen, Hillary P. Handler, Alec Victorsen, Zach Flaten, Aidan Ellison, Todd P. Knutson, Sarah A. Munro, Ryan J. Martinez, Charles John Billington, Jennifer J. Laffin, Sarah Bray, Pawel Mroz, Sophia Yohe, Andrew C. Nelson, Matthew Bower, Bharat Thyagarajan

“…The implementation of a unified comprehensive technique that can simultaneously detect a broad spectrum of genetic variation would substantially increase efficiency of the diagnostic process. …”
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Ripeness identification of pitaya fruit based on YOLOv8 and PSP-Ellipse by LIU Xinpu, ZHAO Chunlei, LI Zhifeng, FENG Chao

“…ObjectiveImprove the accuracy and robustness of maturity detection of pitaya fruit.MethodsCombining the YOLOv8 object detection model with the PSP-Ellipse segmentation algorithm, an efficient and accurate automatic identification method for pitaya fruit maturity was proposed. …”
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