Change Detection Based on Image Standardization and Improved Residual Network for Single-Polarization SAR Images by Mengmeng Wang, Jixian Zhang, Guoman Huang, Lijun Lu, Fenfen Hua

“…The noncoherent change acquisition part of the strategy involves an image standardization algorithm, which is derived from the Gaussian speckle model and is especially effective for images with different statistical characteristics. Then, the I-ResNet model combining the dual-tree complex wavelet transform with residual learning is presented, which aims at taking advantage of the wavelet transform in reducing the influence of speckle noise and ResNet in easy training and preservation of information integrity. …”
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The University of Canterbury Library (Christchurch, New Zealand) by Mojca Jevnikar-Zajc

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INTERNET IN CONDITIONS OF SOCIETY INFORMATIZATION by K.N. KOSHKO

“…In the process of the society informatization Internet has become the next technical achievemet of mankind, it is not only of informational but also of social value. “The world – wide net” is the new cultural model of the post-industrial society opening really unlimited possibilities of getting information.…”
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A Hybrid Attention Framework Integrating Channel–Spatial Refinement and Frequency Spectral Analysis for Remote Sensing Smoke Recognition by Guangtao Cheng, Lisha Yang, Zhihao Yu, Xiaobo Li, Guanghui Fu

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Federated LeViT-ResUNet for Scalable and Privacy-Preserving Agricultural Monitoring Using Drone and Internet of Things Data by Mohammad Aldossary, Jaber Almutairi, Ibrahim Alzamil

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Remote Sensing Image Semantic Segmentation Sample Generation Using a Decoupled Latent Diffusion Framework by Yue Xu, Honghao Liu, Ruixia Yang, Zhengchao Chen

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Small but mighty: Enhancing 3D point clouds semantic segmentation with U-Next framework by Ziyin Zeng, Qingyong Hu, Zhong Xie, Bijun Li, Jian Zhou, Yongyang Xu

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Optimizing colorectal cancer segmentation with MobileViT-UNet and multi-criteria decision analysis by Barun Barua, Genevieve Chyrmang, Kangkana Bora, Manob Jyoti Saikia

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A Hybrid Spatiotemporal Deep Learning Model for Short-Term Metro Passenger Flow Prediction by Hao Zhang, Jie He, Jie Bao, Qiong Hong, Xiaomeng Shi

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An Innovative Neighbor Attention Mechanism Based on Coordinates for the Recognition of Facial Expressions by Cheng Peng, Bohao Li, Kun Zou, Bowen Zhang, Genan Dai, Ah Chung Tsoi

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Boosting graph search with attention network for solving the general orienteering problem by Zongtao Liu, Wei Dong, Chaoliang Wang, Haoqingzi Shen, Gang Sun, Qun jiang, Quanjin Tao, Yang Yang

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Empowering Smallholder Farmers with UAV-Based Early Cotton Disease Detection Using AI by Halimjon Khujamatov, Shakhnoza Muksimova, Mirjamol Abdullaev, Jinsoo Cho, Cheolwon Lee, Heung-Seok Jeon

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Semantic-to-Instance Segmentation of Time-Invariant Offshore Wind Farms Using Sentinel-1 Time Series and Time-Shift Augmentation by Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Junior, Anesmar Olino de Albuquerque, Daniel Guerreiro e Silva

“…The methodology consists of (1) constructing a dataset with offshore wind farms labeled from Sentinel-1 SAR time series, (2) applying a time-shift augmentation strategy by randomizing image sequences during training (avoiding overfitting due to chronological ordering), (3) evaluating six deep learning architectures (U-Net, U-Net++, LinkNet, DeepLabv3+, FPN, and SegFormer) across time-series lengths of 1, 5, 10, and 15 images, and (4) converting the semantic segmentation results into instance-level detections using Geographic Information System tools. …”
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CLM-UNet: A Remote Sensing Image Semantic Segmentation Method Incorporating Attention Mechanism by Panpan Zhang, Xin Teng, Yong Qin, Qiwei Zhao, Yu Gao, Wanchao Kang, Junfu Fan

“…The CLM module addresses this by dynamically adjusting the focus on key channel features, thereby suppressing irrelevant information and improving segmentation accuracy. Ablation experiments demonstrate the effectiveness of the CLM module, showing that CLM-UNet outperforms the standard U-Net in key metrics, including an increase of 6.07% in mean Intersection over Union (MIOU) and a 0.19% improvement in overall accuracy (OA). …”
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Bangladeshi Vehicle Classification and Detection Using Deep Convolutional Neural Networks With Transfer Learning by Farid, Proshanta Kumer Das, Monirul Islam, Ebna Sina

“…To begin, we have implemented and tested the performance of the 11 pre-trained deep convolutional neural network (CNN) models: YOLOv8 Classify, MobileNetV2, GoogLeNet, AlexNet, ResNet-50, SqueezeNet, VGG19, DenseNet-121, Xception, InceptionV3, and NASNetMobile on the six vehicle classification and detection datasets: BIT-Vehicle, IDD, DhakaAI, Poribohon-BD, Sorokh-Poth, and VTID2. …”
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GeoDisasterAINet: An Explainable Deep Ensemble Framework for Real-Time Urban and Rural Disaster Classification and Resilience by Akella S. Narasimha Raju, Seelam Sreekanth, Ranjith Kumar Gatla, M. Rajababu, Devineni Gireesh Kumar, Aymen Flah, Claude Ziad El-Bayeh, Khaled A. El-Nagdy, Ali Alzaed

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The Effects of Participant Motivational Behavioural Intention: The MARBLE Case by Yilmaz Akgunduz, Ovunc Bardakoglu, Yesim Koba

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Gearbox Fault Diagnosis based on Time-frequency Combination Feature Extraction and Manifold Learning of MS-LTSA by Lingjun Xiao, Lü Yong, Rui Yuan

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Uso delle euristiche nella scelta elettorale: un approccio basato sulla simulazione della decisione di voto by Piergiorgio Corbetta, Pasquale Colloca

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Une Ontologie Pour Le Lexique Arabe by Noureddine Doumi, Ahmed Lehireche

“…L'objectif est d'organiser le lexique arabe sous Forme d'hiérarchie de concepts cc qui aboutira à un dictionnaire conceptuel exploitable par la machine (machine readable dictionary) de tels dictionnaires sont requis dans les systèmes de traitements automatique du langage naturel en tans que base de connaissances lexicales, et en général sont requis dans le projet Web sémantique An de réaliser l'interopérabilité entre les agents logiciels des systèmes d'information sous web. Des bases de données lexicales d'autres langues ont et a déjà réalisées et commercialisées Celle que WordNet réalisée a l’université de Princeton NJ-USA pour l'anglais. …”
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