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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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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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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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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Through the Citizen Scientists’ Eyes: Insights into Using Citizen Science with Machine Learning for Effective Identification of Unknown-Unknowns in Big Data by Kameswara Bharadwaj Mantha, Hayley Roberts, Lucy Fortson, Chris Lintott, Hugh Dickinson, William Keel, Ramanakumar Sankar, Coleman Krawczyk, Brooke Simmons, Mike Walmsley, Izzy Garland, Jason Shingirai Makechemu, Laura Trouille, Clifford Johnson

“…Using this case study, we lay important guidelines for future research studies looking to adapt and operationalize human-machine collaborative frameworks for efficient anomaly detection in big data.…”
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A New Approach Based on Metaheuristic Optimization Using Chaotic Functional Connectivity Matrices and Fractal Dimension Analysis for AI-Driven Detection of Orthodontic Growth and D... by Orhan Cicek, Yusuf Bahri Özçelik, Aytaç Altan

“…Feature selection was performed using a wrapper-based approach combining k-nearest neighbors (kNN) and the Puma optimization algorithm, which efficiently handles the chaotic and computationally complex nature of cervical vertebrae images. …”
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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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SHAP-Based Feature Selection for Enhanced Unsupervised Labeling by Mary Anne Walauskis, Taghi M. Khoshgoftaar

“…These challenges are further extended in domains such as fraud detection because of privacy concerns due to manual annotations and severe class imbalance, which negatively impact machine learning models. …”
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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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Fractal Algorithm for Multiple-lens Analyses by F. Abe

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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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A Review of UAV Path-Planning Algorithms and Obstacle Avoidance Methods for Remote Sensing Applications by Dipraj Debnath, Fernando Vanegas, Juan Sandino, Ahmad Faizul Hawary, Felipe Gonzalez

“…It further analyses obstacle detection and avoidance methods, as well as their capacity to adapt, optimise, and compute efficiently in different operational environments. …”
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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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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

“…Therefore, it is imperative to regulate and remediate erosion–prone, anthropogenically disturbed parcels, with dynamic change detection (CD) playing a crucial role in enhancing management efficiency. …”
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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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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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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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A Novel Supervoxel-Based NE-PC Model for Separating Wood and Leaf Components from Terrestrial Laser Scanning Data by Shengqin Gong, Xin Shen, Lin Cao

“…However, previous studies on wood–leaf separation exhibited limitations in unsupervised adaptability and robustness to complex tree architectures, while demonstrating inadequate performance in fine branch detection. …”
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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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