Robust Brain Tumour Classification: Comparative Deep Learning Analysis with Ensemble Modelling by Verma Aditya, Wankhede Disha

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Enhanced residual-attention deep neural network for disease classification in maize leaf images by Nidhi Parashar, Prashant Johri, Ahmed Elbeltagi, Ali Salem, Prakash Choudhary, Vijay Kumar, Tarun Agrawal

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Multifunctional cells based neural architecture search for plant images classification by Lin Huang, Xi Qin, Tiejun Yang

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Latent preference representation in the human brain for scented products: Effects of novelty and familiarity by Toshiki Okumura, Kai Saito, Risako Harada, Tohru Ohki, Hiroyuki Hanihara, Ikuhiro Kida

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SCL-YOLOv11: A Lightweight Object Detection Network for Low-Illumination Environments by Shulong Zhuo, Hao Bai, Lifeng Jiang, Xiaojian Zhou, Xu Duan, Yiqun Ma, Zihan Zhou

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Enhancing Heart Disease Diagnosis Using ECG Signal Reconstruction and Deep Transfer Learning Classification with Optional SVM Integration by Mostafa Ahmad, Ali Ahmed, Hasan Hashim, Mohammed Farsi, Nader Mahmoud

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Three-branch feature enhancement and fusion network for focal cortical dysplasia lesions segmentation using multimodal imaging by Manli Zhang, Hao Yu, Gongpeng Cao, Jinguo Huang, Yintao Cheng, Wenjing Zhang, Xiaotong Yuan, Rui Yang, Qiunan Li, Lixin Cai, Guixia Kang

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Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images by Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi

“…The code is accessible on https://github.com/LeeThrzz/FTrans-DF-Net.…”
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A multi-scale rotated ship targets detection network for remote sensing images in complex scenarios by Siyu Li, Fei Yan, Yunqing Liu, Yuzhuo Shen, Lan Liu, Ke Wang

“…The model can gather information from any position in the sequence, extract contextual information of targets at different scales, and enhance global feature representation. …”
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Rice Leaf Nutrient Deficiency Classification System Using CAR-Capsule Network by M. Amudha, K. Brindha

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Near-Surface Air Temperature Estimation Based on an Improved Conditional Generative Adversarial Network by Jiaqi Zheng, Xi Wu, Xiaojie Li, Jing Peng

“…In the proposed network model of the method based on the conditional generative adversarial network structure, the generator combining a self-attention mechanism and cascaded residual blocks is designed with U-Net as the backbone, which extracts implicit feature information and suppresses the irrelevant information in the Fengyun satellite data. …”
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Upper Palaeogene-Lower Neogene Reservoir Characterization in Kirkuk, Bai Hassan and Khabaz Oil Fields, Northern Iraq by Yaseen S. Al-Jwaini, Ali D. Gayara

“…The total thickness of these reservoirs is (136 m) with net pay thickness (124.5m) and net average porosity (0.178) while the net water saturation is (0.159), the volume of shale is (5.82). …”
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Adaptive Focal Loss for Keypoint-Based Deep Learning Detectors Addressing Class Imbalance by Zhihao Su, Afzan Adam, Mohammad Faidzul Nasrudin

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YOLO11-Driven Deep Learning Approach for Enhanced Detection and Visualization of Wrist Fractures in X-Ray Images by Mubashar Tariq, Kiho Choi

“…We integrated attention mechanisms, such as Global Attention Mechanism (GAM), channel attention, and spatial attention with Residual Network (ResNet), to enhance feature extraction. Moreover, we developed the ResNet_GAM model, which combines ResNet with GAM to improve feature learning and model performance. …”
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Resource-Efficient Cotton Network: A Lightweight Deep Learning Framework for Cotton Disease and Pest Classification by Zhengle Wang, Heng-Wei Zhang, Ying-Qiang Dai, Kangning Cui, Haihua Wang, Peng W. Chee, Rui-Feng Wang

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Multiclassification of Colorectal Polyps from Colonoscopy Images Using AI for Early Diagnosis by Jothiraj Selvaraj, Kishwar Sadaf, Shabnam Mohamed Aslam, Snekhalatha Umapathy

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IoT BotScan: Ultra-Lightweight AI Defense Against Botnet Threats by Sapna Sadhwani, Urvi Kavan Modi, Raja Muthalagu, Pranav M. Pawar, Alavikunhu Panthakkan, Wathiq Mansoor

“…The insights gained from this research provide valuable information for academics and cybersecurity practitioners, aiding in the development of proactive defenses against evolving BotNet threats and promoting the advancement of resilient security measures for network infrastructures.…”
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Multiclass Crop Interpretation via a Lightweight Attentive Feature Fusion Network Using Vehicle-View Images by Wenyue Li, Bingfang Wu, Runyu Fan, Fuyou Tian, Miao Zhang, Zhaoying Zhou, Jun Hu, Ruyi Feng, Fangming Wu

“…To address the abovementioned issues, this article proposes a novel lightweight neural network, namely the CropNet, for crop interpretation. Aiming at the problem of feature similarity among different categories of crops, this article designs a global-local path aggregation (GLPA) mechanism, which uses shallow and deep neural networks to extract global detail information and local high-level information to enhance feature discrimination. …”
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Novel deep learning for multi-class classification of Alzheimer’s in disability using MRI datasets by Sumaiya Binte Shahid, Maleeha Kaikaus, Md. Hasanul Kabir, Mohammad Abu Yousuf, A. K. M. Azad, A. S. Al-Moisheer, Naif Alotaibi, Salem A. Alyami, Touhid Bhuiyan, Mohammad Ali Moni, Mohammad Ali Moni, Mohammad Ali Moni

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A Novel High Performance Object Identification Approach in Care Homes Using Gaussian Preprocessing by Sara Auweiler, Melina Mueller, Diana Puhla, Pascal Penava, Ricardo Buettner

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