Information Communication Technology and Service Delivery in Nyagatare District Local Goverment, Rwanda. by Wellars, Kanamugire

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3D reconstruction from 2D multi-view dental 2D images based on EfficientNetB0 model by Waleed Mohamed, Nermeen Nader, Yasmin M. Alsakar, Naira Elazab, Mohamed Ezzat, Mohammed Elmogy

“…When the proposed model was tested on the ShapeNet dataset, the suggested model achieved a maximum intersection over union (IoU) of 89.98% and an F1_score of 94.11%. …”
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Semantic Segmentation of Sika Deer Antler Image by U-Net Based on Two-Dimensional Discrete Wavelet Transform Fusion and Multi-Attention Mechanism by Haotian Gong, Jinfan Wei, Yu Sun, Zhipeng Li, He Gong, Juanjuan Fan

“…In order to compensate for the loss of feature information caused by 2D-DWT, we embedded the Star Blocks module in the encoder. …”
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SSMR-Net and Across Feature Mapping Attention are jointly applied to the UAV imagery semantic segmentation task of weeds in early-stage wheat fields by Xinyu Mei, Changchun Li, Yinghua Jiao, Guangsheng Zhang, Longfei Zhou, Xifang Wu, Taiyi Cai

“…AFMA leveraged multilevel features from the original image to quantify the intrinsic relationships between large and small objects within the same category, compensating for the loss of high-level features in small target extraction and enhancing segmentation performance. SSMR-Net incorporated a multiscale feature structure by connecting the encoder and decoder with an Atrous Spatial Pyramid Pooling (ASPP) module with a small expansion rate, preserving the small target features during the information transfer and facilitating the multiscale feature extraction of weeds. …”
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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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SMANet: A Model Combining SincNet, Multi-Branch Spatial—Temporal CNN, and Attention Mechanism for Motor Imagery BCI by Danjie Wang, Qingguo Wei

“…We propose an end-to-end deep learning model, Sinc-multibranch-attention network (SMANet), which combines a SincNet, a multibranch spatial-temporal convolutional neural network (MBSTCNN), and an attention mechanism for MI-BCI classification. …”
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Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach by P. T. Pranesh, Carmelin Durai Singh, Anand Sivanandam, Raman Muthusamy, Swati Sharma, Taha Alqahtani, Humood Al Shmrany, Daniel Ejim Uti

“…The VDHNC model was formed by merging the strong feature learning of VGG16 with the efficient information sharing feature of DenseNet. To create the model, data about clinical, demographic, and environmental aspects of pediatric patients were used. …”
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Wave-Net: A Marine Raft Aquaculture Area Extraction Framework Based on Feature Aggregation and Feature Dispersion for Synthetic Aperture Radar Images by Chengyi Wang, Lei Wang, Ningyang Li

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CHMMConvScaleNet: a hybrid convolutional neural network and continuous hidden Markov model with multi-scale features for sleep posture detection by Dikun Hu, Weidong Gao, Kai Keng Ang, Mengjiao Hu, Rong Huang, Gang Chuai, Xiaoyan Li

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Research on Detection of Icing Cover Transmission Lines Under Different Weather Conditions Based on Wide-Field Dynamic Convolutional Network LDKA-NET by Xinsheng Dong, Yuanhao Wan, Yongcan Zhu, Chao Ji

“…To address the issue of low detection accuracy for icing transmission line defects with existing models, this paper proposes a defect detection algorithm for icing transmission line defects under different weather conditions based on a Large Dynamic Kernel Aggregation Net (LDKA-NET). First, a wide field of view convolutional network (WFVC Net) is introduced to enhance the network’s perception and generalization capabilities, enabling better adaptation to complex scene targets. …”
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HCMMA-Net: A Hybrid Convolutional Multi-Modal Attention Network for Human Activity Recognition in Smart Homes Using Wearable Sensor Data by Nazish Ashfaq, Zeeshan Aziz, Muhammad Hassan Khan, Muhammad Adeel Nisar, Adnan Khalid

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Role of Feature Diversity in the Performance of Hybrid Models—An Investigation of Brain Tumor Classification from Brain MRI Scans by Subhash Chand Gupta, Shripal Vijayvargiya, Vandana Bhattacharjee

“…</i> For this, we have chosen three pretrained models—ResNet50; VGG16; and DensetNet121—as the baseline models. …”
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Unlocking coastal wetland dynamics: a 40-year evolutionary analysis using HASX-Net and time series insights from Yancheng, China by Jintao Liang, Yi Wang, Penglei Li, Zhice Fang

“…Coastal wetlands face increasing pressures from climate change and human activities, requiring breakthrough technological approaches to obtain high-precision spatiotemporal dynamic information. This study proposes the Hybrid Attention Swin Xception Network (HASX-Net), applying it to the coastal wetland dataset of Yancheng, and bridging the research gap in deep learning for long-term and multi-temporal wetland extraction. …”
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Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches by Nadenlla RajamohanReddy, G. Muneeswari

“…Methods Therefore, this research introduced a novel efficient DL-based extension residual structure and adaptive channel attention mechanism (ERSACA-Net) to classify the brain tumor types as pituitary, glioma, meningioma and no tumor. …”
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CN2VF-Net: A Hybrid Convolutional Neural Network and Vision Transformer Framework for Multi-Scale Fire Detection in Complex Environments by Naveed Ahmad, Mariam Akbar, Eman H. Alkhammash, Mona M. Jamjoom

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EcD-Net: Encoder-Corollary Atrous Spatial Pyramid Pooling-decoder network for automated pancreas segmentation of 2D CT images by Isaac Baffour Senkyire, Kashala Kabe Gedeon, Emmanuel Freeman, Benjamin Ghansah, Zhe Liu

“…Using the detected image from the first tier, a fine segmentation network based on U-Net is applied to segment the target organ (pancreas). …”
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Time-domain brain: temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory sequences by Janet M. Baker, Peter Cariani

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Explainable Artificial Intelligence in Malignant Lymphoma Classification: Optimized DenseNet121 Deep Learning Approach With Particle Swarm Optimization and Genetic Algorithm by Haitham ELwahsh, Ali Bakhiet, Omar Ibrahim Alirr, Tarek Khalifa, Maazen Alsabaan, Mohamed I. Ibrahem, Engy El-Shafeiy

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HA-CP-Net: A Cross-Domain Few-Shot SAR Oil Spill Detection Network Based on Hybrid Attention and Category Perception by Dongmei Song, Shuzhen Wang, Bin Wang, Weimin Chen, Lei Chen

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InsNet-CRAFTY v1.0: integrating institutional network dynamics powered by large language models with land use change simulation by Y. Zeng, C. Brown, C. Brown, M. Byari, J. Raymond, T. Schmitt, M. Rounsevell, M. Rounsevell, M. Rounsevell

“…We present InsNet-CRAFTY (Institutional Network – Competition for Resources between Agent Functional Types) v1.0, a multi-LLM-agent model with a polycentric institutional framework coupled with an agent-based land system model. …”
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