Dense-Fusion2Net a more efficient and lightweight short speech speaker recognition system with time-frequency channel attention by Fei Deng, Rui Huang, Peifan Jiang, Lin Yu, Lihong Deng

“…Abstract In short speech situations, the performance of existing speaker recognition systems degrades significantly due to factors such as short speech segment length, scarce speaker identity information, and noise interference. In this paper, a short speech speaker recognition system based on Dense-Fusion2Net and the Time-Frequency Channel Attention (TFCA) is proposed to address the problems of current short speech speaker recognition systems. …”
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Use of Attitude and Heading Reference System (AHRS) to Analyze the Impact of Safety Nets on the Accelerations Occurring in the Human Body During a Collision by Mariusz Gołkowski, Jerzy Kwaśniewski, Maciej Roskosz, Paweł Mazurek, Szymon Molski, Józef Grzybowski

“…The article presents accelerations occurring in the human body when falling onto a safety net. An attitude and heading reference system (AHRS) consists of sensors on three axes that provide attitude information for objects, including pitch, roll, and yaw. …”
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DRDA-Net: Deep Residual Dual-Attention Network with Multi-Scale Approach for Enhancing Liver and Tumor Segmentation from CT Images by Wail M. Idress, Yuqian Zhao, Khalid A. Abouda, Shaodi Yang

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Formal modeling of a causal consistent distributed system and verification of its history via model checking using colored Petri net by Khalid Amjed Mohammed Alsaegg, Saeid Pashazadeh, Mina Zolfy Lighvan

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ShipRSImageNet: A Large-Scale Fine-Grained Dataset for Ship Detection in High-Resolution Optical Remote Sensing Images by Zhengning Zhang, Lin Zhang, Yue Wang, Pengming Feng, Ran He

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DisasterAdaptiveNet: A robust network for multi-hazard building damage detection from very-high-resolution satellite imagery by Sebastian Hafner, Sebastian Gerard, Josephine Sullivan, Yifang Ban

“…Code including the strong baseline model is available at: https://github.com/SebastianHafner/DisasterAdaptiveNet.…”
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Short text automatic scoring system based on BERT-BiLSTM model by XIA Linzhong, YE Jianfeng, LUO De’an, GUAN Mingxiang, LIU Jun, CAO Xuemei

Subjects: “…signal and information processing…”
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Development of a narrow-directional social network for fans of TV series by K. I. Frolov

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Remaining Useful Life Prediction of Rolling Bearings Based on an Improved U-Net and a Multi-Dimensional Hybrid Gated Attention Mechanism by Hengdi Wang, Aodi Shi

“…In practical scenarios, rolling bearing vibration signals suffer from detail loss, and information loss occurs during feature dimensionality reduction and fusion, leading to inaccurate life prediction results. …”
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Impacts of introduced sustainable land management (ISLM) practices on crop yield and net farm income of smallholder farmers, Eastern and Southern Ethiopia by Alemayehu Temesgen Gebremikael, Jemal Yousuf Hassan, Getachew Shambel Endris, Chanyalew Seyoum Aweke

“…This study investigates the impacts of adopting ISLM practices on crop yield and net farm income in eastern and southern Ethiopia. …”
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Individual Identification of Holstein Cows from Top-View RGB and Depth Images Based on Improved PointNet++ and ConvNeXt by Kaixuan Zhao, Jinjin Wang, Yinan Chen, Junrui Sun, Ruihong Zhang

“…The AP₅₀ metric of the enhanced PointNet++ neural network exceeded that of the original model by 3 percentage points. …”
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MSS-Net: a lightweight network incorporating shifted large kernel and multi-path attention for ship detection in remote sensing images by Guoqing Zhou, Xiangting Wang, Sheng Liu, Yuefeng Wang, Ertao Gao, Jiangying Wu, Yanling Lu, Linbo Yu, Weiyi Wang, Kun Li

“…The proposed MSS-Net is validated through three public datasets, TGRS-HRRSD, MASATI and LEVIR. …”
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TripletA-Net: A Deep Learning Model for Automatic Railway Track Extraction from Airborne LiDAR Point Clouds by Runyuan Zhang, Qiong Ding, Alex Hay-Man Ng, Dan Wang, Jiwei Deng, Mingwei Xu, Yuelin Hou

“…Together these optimizations make TripletA-Net highly effective in track extraction, achieving a mean Intersection over Union of 94.36% on our airborne LiDAR track dataset (acquired from two geographically diverse regions, with a total track length of 2700 m), which is more surpassing than benchmark methods such as PointNet++ (87.87% ), RandLA-Net (91.64% ), and Stratified Transformer (89.49% ).…”
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Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study by Eman H. Alkhammash

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Detection of Leaf Diseases in Banana Crops Using Deep Learning Techniques by Nixon Jiménez, Stefany Orellana, Bertha Mazon-Olivo, Wilmer Rivas-Asanza, Iván Ramírez-Morales

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Diseño óptimo de redes hidráulicas bajo criterios múltiples. // Optimal design of water supply nets by means of multiple criteria optimization. by J. R. Hechavarría Hernández, J. Arzola Ruiz, A. Cordovés García, A. M. Lastre Aleaga

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Factorial analysis of an Indicator "Net Profit" for justification of Dividend Policy of Joint-Stock Company in the conditions of inflation: domestic practice and foreign experience by Natalya Vilgelmovna Dedyukhina, Sergey Aleksandrovich Vasilyev

“…Results of researches of the authors from a position of an assessment of informational content of domestic and foreign techniques of the factorial analysis of an indicator «net profit» for justification of dividend policy of joint-stock company are presented in the article. …”
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Methods for modeling gestational weight gain: empirical application using electronic health record data from a safety net population by Anna Booman, Kimberly K. Vesco, Rachel Springer, Dang Dinh, Shuling Liu, Kristin Lyon-Scott, Miguel Marino, Jean O’Malley, Amy Palma, Teresa Schmidt, Jonathan M. Snowden, Kalera Stratton, Sarah-Truclinh Tran, Janne Boone-Heinonen

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Safety net or social barrier? Social networks and barriers to monitoring type 2 diabetes management among Black/African American men by Tyler Prochnow, Megan S. Patterson, Jeong-Hui Park, Ledric D. Sherman, Matthew Lee Smith

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Models and realization of intrusion detection in enterprise corporate information system with intellectual approuch by U. A. Vishniakou, M. G. Mosdurany Shiras

“…The methodic of intrusion detection in corporate information systems (CIS) on three levels are done. …”
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