Detection of Critical Parts of River Crab Based on Lightweight YOLOv7-SPSD by Guoai Fang, Yu Zhao

“…Furthermore, we optimize the model by removing redundant parameters using the DepGraph pruning algorithm, which facilitates its application on edge devices. Experimental results show that the lightweight YOLOv7-SPSD model achieves a mean Average Precision (mAP) of 99.6% at a threshold of 0.5, an F1-score of 99.6%, and processes frames at a rate of 7.1 frames per second (FPS) on a CPU. …”
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Digits Recognition for Arabic Handwritten through Convolutional Neural Networks, Local Binary Patterns, and Histogram of Oriented Gradients by Bushra Mahdi Hasan, Zahraa Jasim Jaber, Ahmad Adel Habeeb

“…It is better than any edge descriptor as it uses magnitude as well as the angle of the gradient to compute the features. …”
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Lightweight detection and segmentation of crayfish parts using an improved YOLOv11n segmentation model by Wei Shi, Jun Zhang, YunFan Fu, DanWei Chen, JianPing Zhu, ChunFeng Lv

“…Abstract Crayfish sub-part processing requires high precision and efficiency in complex environments; however, current methods often fail to effectively handle small anatomical structures and are unsuitable for edge-device deployment. …”
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IoT-based green-smart photovoltaic system under extreme climatic conditions for sustainable energy development by Yufei Wang, Jia-Wei Zhang, Kaiji Qiang, Runze Han, Xing Zhou, Chen Song, Bin Zhang, Chatchai Putson, Fouad Belhora, Hajjaji Abdelowahed

“…When it comes to the evolution of intelligent green energy systems, Internet of Things (IoT)-based green-smart photovoltaic (PV) systems have been brought into the spotlight owing to their cutting- edge sensing and data-processing technologies. This review is focused on three critical segments of IoT-based green-smart PV systems. …”
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SHARAD Illuminates Deeper Martian Subsurface Structures with a Boost from Very Large Rolls of the MRO Spacecraft by Nathaniel E. Putzig, Gareth A. Morgan, Matthew R. Perry, Bruce A. Campbell, Jennifer L. Whitten, Fabrizio Bernardini, Alessandro DiCarlofelice, Piero Tognolatti, Pierfrancesco Lombardo

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Barriers to the implementation of psychosocial interventions on acute mental health wards: an ethnographic observational study by Katherine Berry, Katherine Berry, Isobel Johnston, Isobel Johnston, Paul Wilson, Gillian Haddock, Gillian Haddock, Sandra Bucci, Sandra Bucci, Karina Lovell, Owen Price, Adele Beinaraviciute, Adele Beinaraviciute, Gill Gilworth, Sonalia Kaur, Helen Morley, Helen Morley, Georgia Penn, Georgia Penn, Jessica Raphael, Jessica Raphael, Mica Samji, Richard J. Drake, Richard J. Drake, Dawn Edge, Dawn Edge

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COATED TOOL CUTTING TEMPERATURE by Anatoly Andreyevich Ryzhkin, V. N. Puchkin, D. V. Moiseyev, Flora Alexandrovna Vistoropskaya

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Attention Score Enhancement Model Through Pairwise Image Comparison by Yeong Seok Ju, Zong Woo Geem, Joon Shik Lim

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Comprehensive data of 10 fruit leaf classes captured for agricultural AI applicationsMendeley Data by Minhajul Abedin, Sujon Islam, Naznin Sultana

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Machine learning for improved size estimation of complex marine particles from noisy holographic images by Zonghua Liu, Zonghua Liu, Marika Takeuchi, Yéssica Contreras, Thangavel Thevar, Alex Nimmo-Smith, John Watson, Sarah L. C. Giering

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A System for the Real-Time Detection of the U-Shaped Steel Bar Straightness on a Production Line by Yen-Jen Chen, Yu-Hsiu Yeh, Jen-Fu Yang

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Wireless Sensor Networks: From Fundamentals and Applications to Innovations and Future Trends by Maria Trigka, Elias Dritsas

“…Wireless Sensor Networks (WSNs) have transformed data acquisition and processing across diverse domains such as environmental monitoring, healthcare, and industrial automation. …”
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A 3D sensor based deflection correction algorithm for belt layer by Su Ming, Fan Wenqiang, Xiao Dong

“…Firstly, the contour data collected by 3D sensor is preprocessed to make the data smoother. Secondly, in the process of correcting deviation, the belt layer is divided into three regions: upper, middle and lower regions, the upper and lower regions adopt fixed edge, and the middle region adopts fixed center. …”
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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

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Monsoon‐Frontal Interactions Drive Cyclone Biparjoy's Wake Recovery in the Arabian Sea by Siddhant Kerhalkar, Ankitha Kannad, Alex Kinsella, Amit Tandon, Janet Sprintall, Craig M. Lee

“…The wake, nearly 30 km wide, had a stronger (weaker) buoyancy gradient at its eastern (western) edge and assumed a downfront (upfront) orientation relative to the southwesterly monsoon winds. …”
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An innovative traffic flow detection model based on temporal video frame analysis and grayscale aggregation quantification by Xin Liu, Qiao Meng, Xin Li, Zhijie Wang, Siyuan Kong, Bingyu Li

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Data-driven bottleneck detection on Tehran highways by Hamid Mirzahossein, Pedram Nobakht, Iman Gholampour

“…The robust validation process reinforces the reliability of this data-driven solution in capturing real-world traffic dynamics. …”
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Development of a stereo vision-based UGV guidance system for bareroot forest nurseries by Sharif Shabani, Ashish R. Mulaka, Thomas A. Stokes, Tanzeel U. Rehman, Yin Bao

“…The system was first developed and validated in simulation using the Webots simulator integrated with the Robot Operating System (ROS). A depth image processing algorithm based on the Hough transform was employed to detect bed edge-lines, with the image-derived relative bed angle serving as the error signal for a proportional controller that corrected the vehicle’s heading and lateral deviation relative to the bed. …”
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Array Design for Angle of Arrival Estimation Using the Worst-Case Two-Target Cramér-Rao Bound by Costas A. Kokke, Mario Coutino, Richard Heusdens, Geert Leus

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Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

“…Future work will extend this framework to additional maturation stages, sensor fusion modalities, and lightweight edge-deployment variants. By facilitating precise immature fruit identification, this work contributes to sustainable production and value addition in macauba processing.…”
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