A nnU-Net-based automatic segmentation of FCD type II lesions in 3D FLAIR MRI images by Shubham Joshi, Millie Pant, Millie Pant, Arnav Malhotra, Kusum Deep, Vaclav Snasel

“…The nnU-Net framework is known for its ability to adapt its settings, including preprocessing, network design, training, and post-processing, to any new medical imaging task. …”
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Enhanced Curvature-Based Fabric Defect Detection: A Experimental Study with Gabor Transform and Deep Learning by Mehmet Erdogan, Mustafa Dogan

“…Furthermore, we implemented and evaluated several other methods from the literature, including Gabor and Convolutional Neural Networks (CNNs), within a unified coding framework. …”
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Character generation and visual quality enhancement in animated films using deep learning by Weiran Cao, Zhongbin Huang

“…This work aims to optimize the first order motion model (FOMM) to enhance its performance in generating animated character images. To this end, the convolutional block attention module (CBAM) is introduced into FOMM. …”
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Unsupervised Deep Clustering on Spatiotemporal Objects Extracted from 4D Point Clouds for Automatic Identification of Topographic Processes in Natural Environments by J. Wang, K. Anders

“…In this paper, we present a time series-based unsupervised deep clustering framework for identifying topographic processes without manual feature engineering and annotations. …”
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Rolling bearing fault diagnosis under small sample conditions based on WDCNN-BiLSTM Siamese network by Chenxu Bian, Chunni Jia, Jibo Li, Xiangjun Chen, Pei Wang

“…Additionally, the SNN framework is introduced to build a feature space under small sample conditions through metric learning, enhancing the ability of model to discern sample similarities. …”
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PoulTrans: a transformer-based model for accurate poultry condition assessment by Jun Li, Bing Yang, Junyang Chen, Jiaxin Liu, Felix Kwame Amevor, Guanyu Chen, Buyuan Zhang, Xiaoling Zhao

“…To address this, we present PoulTrans, an innovative image captioning framework that leverages a Convolutional Neural Network (CNN) integrated with a CSA_Encoder-Transformer architecture to generate detailed poultry status reports. …”
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Advancing AI Interpretability in Medical Imaging: A Comparative Analysis of Pixel-Level Interpretability and Grad-CAM Models by Mohammad Ennab, Hamid Mcheick

“…This study introduces the Pixel-Level Interpretability (PLI) model, a novel framework designed to address critical limitations in medical imaging diagnostics by enhancing model transparency and diagnostic accuracy. …”
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HEE-SegGAN: A holistically-nested edge enhanced GAN for pulmonary nodule segmentation. by Yong Wang, Seri Mastura Mustaza, Mohammad Syuhaimi Ab-Rahman, Siti Salasiah Mokri

“…In this study, we proposed HEE-SegGAN, a holistically-nested edge-enhanced generative adversarial networks, which integrated HED-U-Net with a GAN framework to improve model robustness and edge segmentation accuracy. …”
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Hybrid Darknet53-SVM model with random grid search optimization for enhanced colorectal cancer histological image classification by Pragati Patharia, Prabira Kumar Sethy, K. Lakshmipathi Raju, Anita Khanna, Ashoka Kumar Ratha, Santi Kumari Behera, Aziz Nanthaamornphong

“…This study proposes an advanced deep learning-based framework for classifying CRC histological images into eight categories: Adipose, Complex, Debris, Empty, Lympho, Mucosa, Stroma, and Tumor. …”
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Using Deep Learning in Forecasting the Production of Electricity from Photovoltaic and Wind Farms by Michał Pikus, Jarosław Wąs, Agata Kozina

“…This publication is based on the results obtained within the framework of the research and development project “POIR.01.01.01-00-0506/21”, realized in the years 2022–2023. …”
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Data-driven discovery of the design rules for considering the curing deformation and the application on double-double composites by Yizhuo Gui, Hongwei Song, Jinglei Yang, Cheng Qiu

“…In this regard, a data-driven framework was proposed in this paper to determine the layup rules to follow for minimizing PID. …”
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Smart system for real time monitoring and diagnosis of dengue surfaces in Bangladesh by Md. Shahriar Hossain Apu, Samsuddin Ahmed, Md. Toukir Ahmed

“…The integration of the Convolutional Block Attention Module (CBAM) enhances the model’s feature extraction capabilities, improving its focus on critical regions in the images. …”
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AI-based real-time prediction of cross-sectional phase distribution during laser heat treatment via sequential thermal imaging and image-to-image synthesis by Myeonggyun Son, Hyungson Ki

“…This study proposes the first AI-driven framework for real-time phase mapping during laser heat treatment of S45C steel, using sequential infrared surface temperature images. …”
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Optimization of Coverage Path Planning for Agricultural Drones in Weed-Infested Fields Using Semantic Segmentation by Fabian Andres Lara-Molina

“…In this direction, a novel framework for autonomous drone-based herbicide applications that integrates deep learning-based semantic segmentation and coverage path optimization is proposed. …”
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MLFF-SFNet: A Visual Perception-Guided Network for High-Accuracy Road Extraction in Remote Sensing Imagery via Multilevel Feature Fusion and Similarity Filtering by Kaiming Quan, Dongmei Yan, Ruyi Feng

“…The BDAM captures long-range dependencies of irregular roads through deformable convolutional kernels and bidirectional attention, while the DSN establishes skip connections with dilated convolutions to preserve edge details during multiscale FF. …”
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Automated diagnosis of mild cognitive impairment through connectivity analysis of EEG signals and a DL scheme by Jiayi Lin, Wei Huang

“…To investigate the hypothesis, a new signal processing technique was utilized to transform intricate EEGs into input images for a DL framework. For this purpose, an ensemble pre-trained convolutional neural network (CNN) is suggested to classify EEG signals of 66 AD patients, 61 MCI patients, and 60 healthy aging individuals. …”
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A NOVEL DEEP LEARNING APPROACHES FOR MULTI-CLASS HISTOPATHOLOGICAL SUB-IMAGE CLASSIFICATION USING PRIOR KNOWLEDGE by Riyam Ali Yassin, Morteza Valizadeh, Alaa Hussein Abdulaal

“…This study introduces a novel framework that combines transfer learning (TL) with an Incorporation of Prior Knowledge algorithm for multi-class classification of breast cancer using histopathological images. …”
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Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin by Akhila Akkala, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Pouya Hosseinzadeh, Ayman Nassar

“…These results underscore the importance of integrating spatial dependencies and temporal dynamics in hydrological forecasting, offering a scalable and adaptable framework to improve predictive accuracy and support adaptive water resource management in river basins.…”
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Research on fusion generation algorithm of visual communication and product design based on AIGC technology by Guoying Chen, Xiaofeng Lan, Kai Liu, Can Cheng

“…This paper makes an in-depth analysis of the requirements of fusion of visual communication and product design, and puts forward the basic framework of fusion generation algorithm and the method of dynamic fusion of visual communication and product design elements based on convolutional neural network. …”
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A Systematic Review and Evaluation of Sustainable AI Algorithms and Techniques in Healthcare by Yehia Ibrahim Alzoubi, Ahmet E. Topcu, Ersin Elbasi

“…We propose an integration framework for deploying these methods in resource-constrained healthcare environments, identifying open research challenges and future directions. …”
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