Morphometry of upper Gilgel Abay watershed in southern Tana Basin, Ethiopia, 2023: analysis and implication for land and water resource management by Simachew Bantigegn Wassie, Melkamu Alebachew Anleye

“…This study tried to delineate the UGAW and its sub-watersheds, compute basic morphometric parameters, and link each value with its drainage characteristics. …”
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Enhanced deep learning model for apple detection, localization, and counting in complex orchards for robotic arm-based harvesting by Tantan Jin, Xiongzhe Han, Pingan Wang, Zhao Zhang, Jie Guo, Fan Ding

“…These results indicate improvements of 1.06 %, 1.42 %, 1.28 %, and 1.61 % over the original YOLOv8n, while preserving comparable model parameters, computational efficiency, and detection speed. …”
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Noninvasive image texture analysis differentiates K-ras mutation from pan-wildtype NSCLC and is prognostic. by Glen J Weiss, Balaji Ganeshan, Kenneth A Miles, David H Campbell, Philip Y Cheung, Samuel Frank, Ronald L Korn

“…<h4>Background</h4>Non-invasive characterization of a tumor's molecular features could enhance treatment management. Quantitative computed tomography (CT) based texture analysis (QTA) has been used to derive tumor heterogeneity information, and the appearance of the tumors has been shown to relate to patient outcome in non-small cell lung cancer (NSCLC) and other cancers. …”
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Bridging Sensor Gaps via Attention-Gated Tuning for Hyperspectral Image Classification by Xizhe Xue, Haokui Zhang, Haizhao Jing, Lijie Tao, Zongwen Bai, Ying Li

“…Instead of inserting additional parameters inside the basic model, we train a lightweight auxiliary branch that takes intermediate features as input from the basic model and makes predictions. …”
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MECHANICAL STATE ANALYSIS USING QUANTUM THEORY AND MATHEMATICAL MORPHOLOGICAL FILTER by SHI Ying

“…Aiming at the erosion operator for the mathematical morphological filter（ MMF）,the quantum-inspired weighting structuring element（ QWSE） is proposed based on the quantum theory to extract fault information of mechanical vibration signal.Firstly,after analyzing the system with multiple quantum bits,a method which is employed to map the quantum space to the real number space is presented and the calculation formula of the QWSE is obtained. Then in order to compute all the parameters of the QWSE,the stochastic characteristics of mechanical vibration signal is utilized to acquire the quantum-inspired weighting while the local feature of signal is utilized to generate the dynamic height of the QWSE. …”
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K-Nearest Neighbors for Anomaly Detection and Predictive Maintenance in Water Pumping Systems by João Pablo Santos da Silva, André Laurindo Maitelli

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Bone scintigraphy based on deep learning model and modified growth optimizer by Omnia Magdy, Mohamed Abd Elaziz, Abdelghani Dahou, Ahmed A. Ewees, Ahmed Elgarayhi, Mohammed Sallah

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Design workflow of a symmetric traveling wave antenna for fast ion production on DD tokamaks by J.G. van de Lindt, S.J. Wukitch, N. Bertelli, S. Shiraiwa

“…Initial computational plasma physics scoping and a finite element method antenna modeling design workflow for a symmetric center-fed high-field side high harmonic fast wave traveling wave array (TWA) antenna are reported here. …”
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Research on a Multi-Dimensional Information Fusion Mechanical Wear Fault-Diagnosis Algorithm Based on Data Regeneration by Qifan Zhou, Bosong Chai, Kunwen Ran, Yingqing Guo, Shan Zhou, Wangyu Wu, Kun Wang, Yao Ni

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Foot Pressure-Based Abnormal Gait Recognition With Multi-Scale Cross-Attention Fusion by Menghao Yuan, Yan Wang, Xiaohu Zhou, Meijiang Gui, Aihui Wang, Chen Wang, Guotao Li, Hongnian Yu, Lin Meng, Zengguang Hou

“…Notably, these results are obtained with a lightweight architecture characterized by reduced FLOPs and parameter count, demonstrating that MSCAF-Gait offers both high accuracy and computational efficiency, making it well-suited for real-time deployment on wearable platforms.…”
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Interfacial adhesion between dissimilar thermoplastics fabricated via material extrusion-based multi-material additive manufacturing by Felix Richter, Dazhong Wu

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RRFNet: A free-anchor brain tumor detection and classification network based on reparameterization technology. by Wei Liu, Xingxin Guo

“…Advancements in medical imaging technology have facilitated the acquisition of high-quality brain images through computed tomography (CT) or magnetic resonance imaging (MRI), enabling professional brain specialists to diagnose brain tumors more effectively. …”
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Drone Detection Using YOLOv5 With GhostNet Backbone and Adaptive Fourier Neural Operator (AFNO 2D) by K. Kavin Akash, Uma Kuppusamy

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Medium-sized protein language models perform well at transfer learning on realistic datasets by Luiz C. Vieira, Morgan L. Handojo, Claus O. Wilke

“…While larger models, such as the 15 billion parameter model ESM-2, promise to capture more complex patterns in sequence space, they also present practical challenges due to their high dimensionality and high computational cost. …”
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Age- and Post-Based Complex Analyses of Heart Rate Variability in Young Male Handball Players for Potential Prevention of Overload-induced Injuries by Zita Petrovszki, Olivér Czimbalmos, Vera Gal, Gabor Korosi, Edit Nagy, Rita Mikulan, Gyongyi Horvath

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Investigating the hyperparameter space of deep neural network models for reaction coordinates by Kyohei Kawashima, Takumi Sato, Kei-ichi Okazaki, Kang Kim, Nobuyuki Matubayasi, Toshifumi Mori

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Tier-based strict locality and the typology of agreement by Kenneth Hanson

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GPPK4PCM: pest classification model integrating growth period prior knowledge by Jianhua Zheng, Junde Lu, Yusha Fu, Ruolin Zhao, Jinfang Liu, Zhaoxi Luo, Zhijie Luo

“…The model is composed of three sub-modules where: i) A deep learning network first identifies the growth periods of pests, and this prior knowledge is then used to guide the text encoder of the CLIP pre-trained model in generating period-specific textual features. ii) A parallel deep learning network extracts visual features from pest images. iii) An efficient low-rank multimodal fusion module integrates textual and visual features through parameter-optimized tensor decomposition, significantly improving classification accuracy across pest developmental phases. …”
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GNSS Precipitable Water Vapor Prediction for Hong Kong Based on ICEEMDAN-SE-LSTM-ARIMA Hybrid Model by Jie Zhao, Xu Lin, Zhengdao Yuan, Nage Du, Xiaolong Cai, Cong Yang, Jun Zhao, Yashi Xu, Lunwei Zhao

“…This process significantly reduces modeling complexity and improves computational efficiency. We propose different modeling strategies tailored to the dynamics of various subsequences. …”
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Predicting object size from hand kinematics: a temporal perspective. by Caterina Ansuini, Andrea Cavallo, Atesh Koul, Marco Jacono, Yuan Yang, Cristina Becchio

“…Interestingly, some kinematics features exhibited a higher ability to discriminate the target size than others did. …”
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