LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach by Mingxin Liu, Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin, Cong Lin

“…Furthermore, We employed the Generalized Feature Pyramid Network (GFPN) for feature fusion in the network's neck, enhancing the network's adaptability to features of varying scales. Finally, we design a new detection head, CLLAHead, which reduces computational costs and strengthens the robustness of the model through cross-layer local attention. …”
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Research on cardiac image segmentation algorithm based on improved level set modeling by Shuaishuai ZHANG, Ruixia LIU, Ke SHAN, Zhenhua GUO

“…To address these challenges, this paper introduces modifications to the edge detection function based on the adaptive local fitting model and develops an improved active contour model. …”
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Deep-CNN for Disease Classification using Enhanced Mammographic Images by Ramesh Vaish, Praveen Kumar Shukla

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ON THE TECHNIQUE OF MODELING ONTOGENETIC CHANGES IN FISH AND INSECTS LIFECYCLE by A. Yu. Perevaryukha

“…The new model has a non-trivial possibilities parametrically modification of behavior regimes. The coexistence of alternative cycles is explained by the increase in adaptive interspecies differences.…”
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Distributional properties of the entropy transformed Weibull distribution and applications to various scientific fields by Tabassum Naz Sindhu, Anum Shafiq, Showkat Ahmad Lone, Qasem M. Al-Mdallal, Tahani A. Abushal

“…By significantly improving the functional shape and having the ability to model the most likely form of the hazard rate function, this novel modification has increased the adaptability of typical model. …”
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Fuzzy Clustering Approaches Based on Numerical Optimizations of Modified Objective Functions by Erind Bedalli, Shkelqim Hajrulla, Rexhep Rada, Robert Kosova

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Application of physics-informed neural networks for two-phase flow model with variable diffusion and experimental validation by Daulet Kalesh, Timur Merembayev, Sagyn Omirbekov, Yerlan Amanbek

“…The study analyzes the PINNs using different approaches, including diffusion term and modification flux function to convex hull, employing both Multi-Layer Perceptron (MLP) and Attention-based neural network architectures. …”
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COMPARATIVE ANALYSIS OF CHANGE IN NEUROPHYSIOLOGICAL AND NEUROCHEMICAL INDICATORS IN TRAINED WORKERS EXPOSED TO MERCURY AND VINYL CHLORIDE by Елена Владимировна Катаманова, Ирина Валерьевна Кудаева, Олег Леонидович Лахман, Виктор Степанович Рукавишников, Елена Николаевна Корчуганова, Ирина Михайловна Ещина

“…In addition, the content of catecholamines, primarily norepinephrine, due to the modification of its biotransformation, is more pronounced upon exposure to mercury. …”
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Antarctic Sea Ice Extraction for Remote Sensing Images via Modified U-Net Based on Feature Enhancement Driven by Graph Convolution Network by Wu Feng, Xiulin Geng, Xiaoyu He, Miao Hu, Jie Luo, Meihua Bi

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Bridging epigenomics and tumor immunometabolism: molecular mechanisms and therapeutic implications by Xiaowen Xie, Weici Liu, Zhiyuan Yuan, Hanqing Chen, Wenjun Mao

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Fast Quality Detection of <i>Astragalus</i> Slices Using FA-SD-YOLO by Fan Zhao, Jiawei Zhang, Qiang Liu, Chen Liang, Song Zhang, Mingbao Li

“…This model introduces several novel modifications to enhance feature extraction and fusion while reducing computational complexity. …”
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Improved YOLOv8n Method for the High-Precision Detection of Cotton Diseases and Pests by Jiakuan Huang, Wei Huang

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Dynamic Mapping and 3D Perception Using Voxel Grid and Modified Artificial Potential Fields for Indoor Locomotion by Trihastuti Agustinah, Yurid Eka Nugraha, Aqil Rabbani Nurhadi, Vincentius Charles Maynad

“…Voxel grid filtering enhances computational efficiency, reducing processing time per iteration by up to 73% - from 0.247 seconds (raw LiDAR) to 0.067 seconds (voxel size of 0.9) - while maintaining obstacle detection accuracy. …”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…The ADown module dynamically adapts its downsampling strategy according to the feature characteristics, effectively reducing the number of parameters and computational complexity, while enhancing the model's ability to capture crack edges and fine textural details. …”
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Four New Patient-Reported Outcome Measures Examining Health-Seeking Behavior in Persons With Type 2 Diabetes Mellitus (REDD-CAT): Instrument Development Study by Suzanne E Mitchell, Michael A Kallen, Jonathan P Troost, Barbara A De La Cruz, Alexa Bragg, Jessica Martin-Howard, Ioana Moldovan, Jennifer A Miner, Brian W Jack, Noelle E Carlozzi

“…“Health-Seeking Behavior: General Beliefs” was developed to include both a computer adaptive test and a 6-item short form version; all other PROs were developed as static short forms. …”
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Optimization of a multi-environmental detection model for tomato growth point buds based on multi-strategy improved YOLOv8 by Jiang Liu, Jingxin Yu, Changfu Zhang, Huankang Cui, Jinpeng Zhao, Wengang Zheng, Fan Xu, Xiaoming Wei

“…Ablation experiments confirm these modifications synergistically improve adaptability to scale and environmental variations, achieving 97.8% mAP@0.5 (+ 0.5%) and 85.1% mAP@0.5:0.95 (+ 5.1%) with 11% fewer parameters. …”
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A Simulation-Based Study of Classroom IAQ and Thermal Comfort Performance Across New Zealand’s Six Climate Zones: The Avalon Typology by Vineet Kumar Arya, Eziaku Onyeizu Rasheed, Don Amila Sajeevan Samarasinghe

“…Our findings demonstrate that strategic modifications to the building envelope can significantly improve occupant comfort and energy performance. …”
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Enhanced Magnetic Resonance Imaging-Based Brain Tumor Classification with a Hybrid Swin Transformer and ResNet50V2 Model by Abeer Fayez Al Bataineh, Khalid M. O. Nahar, Hayel Khafajeh, Ghassan Samara, Raed Alazaidah, Ahmad Nasayreh, Ayah Bashkami, Hasan Gharaibeh, Waed Dawaghreh

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A secure hybrid deep learning framework for brain tumor detection and classification by Sandeep Kumar Mathivanan, Saravanan Srinivasan, Manjula Sanjay Koti, Virendra Singh Kushwah, Rose Bindu Joseph, Mohd Asif Shah

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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…The robustness and efficiency of the proposed method highlight its potential for various applications requiring accurate real-time facial expression analysis, such as human-computer interaction, security systems, and emotion-driven computing. …”
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