Natural language processing in Alzheimer's disease research: Systematic review of methods, data, and efficacy by Arezo Shakeri, Mina Farmanbar

“…Machine learning and neural networks were primarily applied to speech, EHR, and social media data, while rule‐based methods were used to analyze literature datasets. …”
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A weak edge estimation based multi-task neural network for OCT segmentation. by Fan Yang, Pu Chen, Shiqi Lin, Tianming Zhan, Xunning Hong, Yunjie Chen

“…Secondly, the high cost of annotating medical image data results in a lack of labeled data, leading to overfitting during model training. …”
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Radiomics feature similarity: A novel approach for characterizing brain network changes in patients with behavioral variant frontotemporal dementia by Salvatore Nigro, Marco Filardi, Benedetta Tafuri, Roberto De Blasi, Maria Teresa Dell’Abate, Alessia Giugno, Valentina Gnoni, Giammarco Milella, Daniele Urso, Chiara Zecca, Stefano Zoccolella, Giancarlo Logroscino

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Multimodal prediction of the need of clozapine in treatment resistant schizophrenia; a pilot study in first-episode psychosis by Jonatan M. Panula, Athanasios Gotsopoulos, Jussi Alho, Jaana Suvisaari, Maija Lindgren, Tuula Kieseppä, Tuukka T. Raij

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ASD-YOLO: a lightweight network for coffee fruit ripening detection in complex scenarios by Baofeng Ye, Baofeng Ye, Renzheng Xue, Renzheng Xue, Haiqiang Xu, Haiqiang Xu

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Automated Morphology Detection of Nail-Fold Capillaries Through Enhanced Object Detection Network by Hang Thi Phuong Nguyen, Hieyong Jeong

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Detection of Tomato Leaf Pesticide Residues Based on Fluorescence Spectrum and Hyper-Spectrum by Jiayu Gao, Xuhui Yang, Simo Liu, Yufeng Liu, Xiaofeng Ning

“…In this study, fluorescence spectrum acquisition and hyperspectral imaging processing of tomato leaf samples with and without pesticides were conducted, and spectral data from regions of interest of hyperspectral images were extracted. …”
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Advancing Road Safety Through Intelligent Vehicle Accident Detection and Reporting Enabled by IoT Innovation by Rahat Ullah Khattak, Abdullah

“…Upon impact, the system rapidly transmits this data, along with pre and post-accident images, to a designated emergency response center via a secure and reliable communication network. …”
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Joint resting state and structural networks characterize pediatric bipolar patients compared to healthy controls: a multimodal fusion approach by Xiaoping Yi, Mingzhao Ma, Xueying Wang, Jinfan Zhang, Feifei Wu, Haimiao Huang, Qian Xiao, An Xie, Peng Liu, Alessandro Grecucci

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A Deep Learning Strategy for the Retrieval of Sea Wave Spectra from Marine Radar Data by Giovanni Ludeno, Giuseppe Esposito, Claudio Lugni, Francesco Soldovieri, Gianluca Gennarelli

“…The network takes as input the radar image spectrum and outputs the sea wave directional spectrum. …”
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A Novel Method for Intelligent Fault Diagnosis of Bearing Based on Capsule Neural Network by Zhijian Wang, Likang Zheng, Wenhua Du, Wenan Cai, Jie Zhou, Jingtai Wang, Xiaofeng Han, Gaofeng He

“…The newly proposed neural network named capsules network takes into account the size and location of the image. …”
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Emotion recognition and interaction of smart education environment screen based on deep learning networks by Zhao Wei, Qiu Liguo

“…This article proposes a dual-stream-coded image sentiment analysis method based on both facial expressions and background actions to monitor and analyze learners’ behaviors in real time. …”
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LMVT: A hybrid vision transformer with attention mechanisms for efficient and explainable lung cancer diagnosis by Jesika Debnath, Al Shahriar Uddin Khondakar Pranta, Amira Hossain, Anamul Sakib, Hamdadur Rahman, Rezaul Haque, Md.Redwan Ahmed, Ahmed Wasif Reza, S M Masfequier.Rahman Swapno, Abhishek Appaji

“…Traditional diagnostic approaches often face issues such as subjectivity, class imbalance, and limited applicability across different imaging modalities. To tackle these problems, we introduce Lung MobileVIT (LMVT), a lightweight hybrid model that combines a Convolutional Neural Network (CNN) and a Transformer for multiclass lung cancer classification. …”
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A Spatio-Temporal Attention Network With Multiframe Information for Infrared Small Target Detection by Donghui Liu, Wenlong Zhang, Zicheng Feng, Xiaoliang Sun, Rui Zhang, Yang Shang

“…While some methods attempt to incorporate temporal information during detection, nonlearning-based approaches are highly sensitive to noises and require manual parameter adjustments based on the input data. To tackle this problem, this article proposes a novel multiframe network called as a spatio-temporal attention network with multiframe information. …”
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Multitask Change-Aware Network and Semisupervised Enhanced Multistep Training for Semantic Change Detection by Yifei Si, Jie Jiang

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Multiple model visual feature embedding and selection method for an efficient ocular disease classification by Isha Kansal, Vikas Khullar, Preeti Sharma, Supreet Singh, Junainah Abd Hamid, A. Johnson Santhosh

“…To optimize computational efficiency, a novel two-level feature selection framework combining Linear Discriminant Analysis (LDA) and advanced neural network classifiers—Deep Neural Networks (DNN), Long Short-Term Memory (LSTM), and Bidirectional LSTM (BiLSTM)—was introduced. …”
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A Literature Review on Artificial Intelligence in Dermatological Diagnosis and Tissue Microscopy by Paul-Vasile Vezeteu, Andrei-Daniel Andronescu, Dumitru-Iulian Nastac

“…The analysis also addresses practical challenges, such as image quality, computational constraints, and data privacy. …”
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AlignFusionNet: Efficient Cross-Modal Alignment and Fusion for 3D Semantic Occupancy Prediction by Ziyi Xu, Legan Qi, Hongzhou Du, Jiaqi Yang, Zhenglin Chen

“…It effectively combines image and point cloud data to construct an occupancy network, thereby improving target detection and representation. …”
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Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach by Xi Zhang, Lan Yang, Jiayu Lu, Yuting Yuan, Dandan Li, Hui Zhang, Rong Yao, Jie Xiang, Bin Wang

“…We utilized resting-state functional magnetic resonance imaging (rs-fMRI) data from 43 BD patients and 51 controls to evaluate the altered dynamic spatiotemporal architecture of the whole-brain network and identify unique activation patterns in BD. …”
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Altered Functional Integration in the Salience and Default Mode Networks in Euthymic Pediatric Bipolar Disorder by Weifang Cao, Haoran Chen, Qing Jiao, Dong Cui, Yongxin Guo, Weijia Gao, Jianfeng Qiu, Linyan Su, Guangming Lu

“…In this study, 16 euthymic PBD patients and 16 healthy controls underwent resting-state functional magnetic resonance imaging. A data-driven functional connectivity analysis was used to investigate functional connectivity changes of the euthymic PBD. …”
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