Resting-state EEG microstate analysis reveals potential biomarkers for subclinical insomnia by Yujie Shi, Mengqi Ji, Fan Zhong, Rui Jiang, Zhuhong Chen, Chi Zhang, Yuting Li, Junpeng Zhang, Wen Wang

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Trend Detection and Forecasting of LST in Tabriz City using the Non-parametric Mann-Kendall and NNAR by Mohammad Ali Koushesh Vatan, Akbar Asghari Zamani, Shahrivar Rostaei

“…Material & Method: The LST data were extracted from the MODIS satellite images for both day and night. …”
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Accuracy of artificial intelligence in caries detection: a systematic review and meta-analysis by Alexander Maniangat Luke, Nader Nabil Fouad Rezallah

“…The research mostly uses convolutional neural networks (CNNs) for analyzing images, showing outstanding accuracy, sensitivity, and specificity in detecting caries. …”
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Artificial intelligence in neurodegenerative diseases research: a bibliometric analysis since 2000 by Yabin Zhang, Lei Yu, Yuting Lv, Tiantian Yang, Qi Guo

“…High-frequency keywords include “alzheimer’s disease,” “parkinson’s disease,” “magnetic resonance imaging,” “convolutional neural network,” “biomarkers,” “dementia,” “classification,” “mild cognitive impairment,” “neuroimaging,” and “feature extraction.” …”
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Audio–Visual Synchronization and Lip Movement Analysis for Real-Time Deepfake Detection by Muhammad Javed, Zhaohui Zhang, Fida Hussain Dahri, Asif Ali Laghari, Martin Krajčík, Ahmad Almadhor

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Identification and validation of pyroptosis-related genes in Alzheimer’s disease based on multi-transcriptome and machine learning by Yuntai Wang, Yuntai Wang, Yilin Li, Lu Zhou, Yihuan Yuan, Chuanfei Liu, Zimeng Zeng, Yuanqi Chen, Qi He, Zhuoze Wu

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Development of Objective Measurements of Scratching as a Proxy of Atopic Dermatitis—A Review by Cheuk-Yan Au, Neha Manazir, Huzhaorui Kang, Ali Asgar Saleem Bhagat

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Transformer-based transfer learning on self-reported voice recordings for Parkinson’s disease diagnosis by Ilias Tougui, Mehdi Zakroum, Ouassim Karrakchou, Mounir Ghogho

“…Transfer learning was applied by starting with models pre-trained on large datasets from the image and the audio domains and then fine-tuning them on the mPower voice data. …”
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Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset by Rahm Ranjan, David Ahmedt-Aristizabal, Mohammad Ali Armin, Juno Kim

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Metode Deteksi Pokok Pohon Secara Automatis pada Citra Perkebunan Sawit Menggunakan Model Convolutional Neural Network (CNN) pada Perangkat Lunak Sistem Informasi Geografis by Samuel Samuel, Kestrilia Rega Prilianti, Hendry Setiawan, Prasetyo Mimboro

“…This study demonstrates the use of the Convolutional Neural Network (CNN) method with the ResNet-34 and ResNet-50 architectures to build a palm tree principal detection model from UAV images of PTPN IV oil palm plantations. …”
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Urban pulse: measuring pace of life through public camera-based cadence analysis by Pei-Yu Ho, Ming-Kuang Chung, Ling-Jyh Chen

“…The Real-Time Image Collection Module autonomously gathers video streams from a network of public live cameras; the Pedestrian Feature Extraction Module employs the You Only Look Once version 7 (YOLOv7) model along with the Simple Online and Real-Time Tracking (SORT) algorithm to produce time series data of pedestrian characteristics; following this, the Pedestrian Cadence Estimation Module applies signal processing to these data to evaluate pedestrian cadence. …”
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DLProv: a suite of provenance services for deep learning workflow analyses by Débora Pina, Liliane Kunstmann, Adriane Chapman, Daniel de Oliveira, Marta Mattoso

“…These datasets were chosen to illustrate the suite’s capability to capture and manage provenance data across tasks of varying complexity, from basic image classification to more complex DL workflows. …”
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Microscopic Stress Sensitivity Analysis with In Situ SEM Study and Digital Core Deformation Simulation by Weibo Sui, Yanan Hou, Zhilin Cheng

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Automatic model of sleep apnea detection using optimized weighted fusion process of hybrid convolution (1D/2D) efficient attention network from EEG signals by R. Nandakumar, Rajesh Arunachalam, R Pugalenthi, Karthikayen Arunachalam

“…However, PSG generates extensive data, making manual analysis labor-intensive and inefficient. …”
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An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM by Sushil Kumar Singh, Manish Kumar, Ikram Majeed Khan, A. Jayanthiladevi, Chirag Agarwal

“…Data preparation incorporates median filtering and global contrast normalization to enhance image quality. …”
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Benchmarking Accelerometer and CNN-Based Vision Systems for Sleep Posture Classification in Healthcare Applications by Minh Long Hoang, Guido Matrella, Dalila Giannetto, Paolo Craparo, Paolo Ciampolini

“…There are five classes: prone, supine, right side, left side, and wake up. For the image-based method, the Visual Geometry Group 16 (VGG16) convolutional neural network was fine-tuned with data augmentation strategies including rotation, reflection, scaling, and translation to enhance model generalization. …”
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Performance Evaluation and Analysis of LightCert4IoT Using Cooja-Contiki Simulator by David Khoury, Samir Haddad, Patrick Sondi, Gaby Abou Haidar, David Semaan, Jinane Sayah

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Deep Learning for Urban Tree Canopy Coverage Analysis: A Comparison and Case Study by Grayson R. Morgan, Danny Zlotnick, Luke North, Cade Smith, Lane Stevenson

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Near-field sound source localization using principal component analysis–multi-output support vector regression by Lanmei Wang, Yao Wang, Guibao Wang, Jianke Jia

“…In this article, principal component analysis method, which is applied to image compression and feature extraction, is introduced into the dimension reduction of input characteristic variable of support vector regression, and a method of joint estimation of near-field angle and range based on principal component analysis dimension reduction is proposed. …”
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With eyes of a machine: A three-step guide for applying machine learning to visual content analysis in social research by Anna Helene Kvist Møller, Massimo Airoldi

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