Information Security and Artificial Intelligence–Assisted Diagnosis in an Internet of Medical Thing System (IoMTS) by Pi-Yun Chen, Yu-Cheng Cheng, Zi-Heng Zhong, Feng-Zhou Zhang, Neng-Sheng Pai, Chien-Ming Li, Chia-Hung Lin

“…Here, a classifier based on a convolutional neural network (CNN) is used for AI- assisted breast tumor diagnosis. …”
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Rolling Bearing Fault Diagnosis Based on VMD-DWT and HADS-CNN-BiLSTM Hybrid Model by Luchuan Shao, Bing Zhao, Xutao Kang

“…This study proposes a hybrid framework for rolling bearing fault diagnosis by integrating a Variational Mode Decomposition–Discrete Wavelet Transform (VMD-DWT) with a Hybrid Attention-Based Depthwise Separable CNN-BiLSTM (HADS-CNN-BiLSTM) to address noise interference and low diagnostic accuracy under complex conditions. …”
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Symmetry and Quantum Calculus in Defining New Classes of Analytic Functions by Fuad Alsarari, Abdulbasit Darem, Muflih Alhazmi, Alaa Awad Alzulaibani

“…This paper introduces a novel class of analytic functions that integrates <i>q</i>-calculus, Janowski-type functions, and (<i>a</i>, <i>b</i>)-symmetrical functions. By exploring convolution operations and quantum calculus, we establish essential convolution conditions that lay the groundwork for subsequent research. …”
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Type recognition and parameter identification of power quality disturbances using improved 1D-YOLO and multi-task learning by Luo Bin, Wang Huifang, Ma Yongji, Chen Wentong, Li Yiming, Ni Xuming

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LST-BEV: Generating a Long-Term Spatial–Temporal Bird’s-Eye-View Feature for Multi-View 3D Object Detection by Qijun Feng, Chunyang Zhao, Pengfei Liu, Zhichao Zhang, Yue Jin, Wanglin Tian

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Ship Plate Detection Algorithm Based on Improved RT-DETR by Lei Zhang, Liuyi Huang

“…To address the challenges in ship plate detection under complex maritime scenarios—such as small target size, extreme aspect ratios, dense arrangements, and multi-angle rotations—this paper proposes a multi-module collaborative detection algorithm, RT-DETR-HPA, based on an enhanced RT-DETR framework. The proposed model integrates three core components: an improved High-Frequency Enhanced Residual Block (HFERB) embedded in the backbone to strengthen multi-scale high-frequency feature fusion, with deformable convolution added to handle occlusion and deformation; a Pinwheel-shaped Convolution (PConv) module employing multi-directional convolution kernels to achieve rotation-adaptive local detail extraction and accurately capture plate edges and character features; and an Adaptive Sparse Self-Attention (ASSA) mechanism incorporated into the encoder to automatically focus on key regions while suppressing complex background interference, thereby enhancing feature discriminability. …”
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A Small-Sample Target Detection Method for Transmission Line Hill Fires Based on Meta-Learning YOLOv11 by Yaoran Huo, Yang Zhang, Jian Xu, Xu Dai, Luocheng Shen, Conghong Liu, Xia Fang

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A novel approach for the detection of brain tumor and its classification via end-to-end vision transformer - CNN architecture by K. Chandraprabha, L. Ganesan, K. Baskaran

“…The report presents a vision transformer that can analyze brain tumors utilizing the Convolution Neural Network framework. The study’s goal is to create an image that can distinguish malignant tumors in the brain. …”
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Fault Diagnosis of Rolling Element Bearing Based on BiTCN-Attention and OCSSA Mechanism by Yuchen Yang, Chunsong Han, Guangtao Ran, Tengyu Ma, Juntao Pan

“…This paper proposes a novel fault diagnosis framework that integrates the Osprey–Cauchy–Sparrow Search Algorithm (OCSSA) optimized Variational Mode Decomposition (VMD) with a Bidirectional Temporal Convolutional Network-Attention mechanism (BiTCN-Attention). …”
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Emotion recognition with a Randomized CNN-multihead-attention hybrid model optimized by evolutionary intelligence algorithm by Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Filippo Sanfilippo

“…To address these challenges, we propose an innovative emotion recognition framework that integrates a Randomised Convolutional Neural Network (RCNN) with a Multi-Head Attention model, further optimized by the Football Team Training Algorithm (FTTA) metaheuristic to enhance network parameters effectively. …”
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Graph Split Federated Learning for Distributed Large-Scale AIoT in Smart Cities by Hanyue Xu, Kah Phooi Seng, Li-Minn Ang, Wei Wang, Jeremy Smith

“…This article introduces a novel SFL-based framework for graph convolutional neural networks, SFLGCN, which includes two variants SFLGCN (general) and SFLGCN-PP (Privacy Preservation), specifically designed for resource-constrained IoT systems in smart cities. …”
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MDE-Net: Multi-Layer Depth Extraction Network With Attention Mechanism for Medical Image Segmentation by Xiaokang Ding, Ling Dong, Yingyu Ji, Ke'Er Qian

“…Firstly, in the encoding part, we introduce the hybrid convolutional feature extraction (HCFE) module as a replacement for traditional convolutional blocks to allow for a more robust extraction of features at multiple scales and help expand the receptive field. …”
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Comparative Study of Hybrid Deep Learning Models for Kannada Sign Language Recognition by Gurusiddappa Hugar, Ramesh M. Kagalkar, Abhijit Das

“…This study presents a novel hybrid deep learning architecture that synergistically combines convolutional neural networks (CNNs), hand keypoints (HKPs), long short-term memory (LSTM) networks, and transformers to achieve robust spatial-temporal-contextual learning for KSL recognition. …”
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Enabling Advanced Land Cover Analytics: An Integrated Data Extraction Pipeline for Predictive Modeling With the Dynamic World Dataset by Victor Radermecker, Andrea Zanon, Nancy Thomas, Annita Vapsi, Saba Rahimi, Rama Ramakrishnan, Daniel Borrajo

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Multi-Scale Feature Extraction with 3D Complex-Valued Network for PolSAR Image Classification by Nana Jiang, Wenbo Zhao, Jiao Guo, Qiang Zhao, Jubo Zhu

“…We first designed a complex-valued three-dimensional network framework combining complex-valued 3D convolution (CV-3DConv) with complex-valued squeeze-and-excitation (CV-SE) modules. …”
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Entrepreneurial Skill Augmented Neural Network (ESANN): A Deep Learning Approach for Enhancing Entrepreneurial Competencies in Teachers by Jian Li

“…Educators received assessment through an established entrepreneurial competency framework at the commencement and completion of ESANN-based instruction. …”
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Focal Correlation and Event-Based Focal Visual Content Text Attention for Past Event Search by Pranita P. Deshmukh, S. Poonkuntran

“…To address this, we propose a novel event-based focal visual content text attention (EFVCTA) framework for automated past event retrieval using visual question answering (VQA) techniques. …”
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Enhancing dysarthria severity classification: efficient audio based deep learning models by Varsha J Varma, Aniruddha Jana, Arpan Kumar Samal, Aurobindo S, Rani Chinnappa Naidu, Somaya Al-Maadeed, Moutaz Saleh, Rajesh Kumar M, Prakash Ramachandran, Zachariah C Alex, Rajeev Khoodeeram

“…It offers an extensive framework for assessing the degree of dysarthria and also uses short-time Fourier transform (STFT) images obtained from a dataset for severity classification. …”
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On the Integration of Social Context for Enhanced Fake News Detection Using Multimodal Fusion Attention Mechanism by Hachemi Nabil Dellys, Halima Mokeddem, Layth Sliman

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Fuzzy Optimized Attention Network with Multi-Instance Deep Learning (FOAN-MIDL) for Alzheimer’s Disease Diagnosis with Structural Magnetic Resonance Imaging (sMRI) by Afnan M. Alhassan, Nouf I. Altmami

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