Listening to the Mind: Integrating Vocal Biomarkers into Digital Health by Irene Rodrigo, Jon Andoni Duñabeitia

“…Advances in speech analysis and machine learning have demonstrated the feasibility of using voice features such as pitch, jitter, shimmer, and speech rate to assess these conditions. …”
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Analog Circuits Fault Diagnosis Using ISM Technique and a GA-SVM Classifier Approach by Sabah Kouachi, Nacerdine Bourouba, Kamel Mebarkia, Imad Laidani

“…One of these troubleshoots faced is the lack of effective features that help to optimize fault classifier and hence improve circuit fault detection and identification. …”
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Deep learning techniques for speech emotion recognition: A review by Silviana Widya Lestari, Saliyah Kahar, Trismayanti Dwi

“…Therefore, the purpose of this work is to provide a comprehensive overview and provide a detailed overview of deep learning methods for speech emotion detection. The method used is a comparative literature analysis of previous articles that are relevant to the topic, which are related to both the methods of deep learning and the collections of data. …”
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Visualization of Breast Cancer and Safety: Review by Lina Zaripova, Elmira Chuvakova, Aigul Segizbayeva, Abai Baigenzhin, Assel Yegembay, Dana Idrissova

“…The treatment and prognosis have improved significantly due to early detection. The rapid development of various imaging techniques has led to success in early detection. …”
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Improved Alzheimer Disease Diagnosis With a Machine Learning Approach and Neuroimaging: Case Study Development by Lilia Lazli

“…MethodsThe system uses artificial neural networks (ANNs) and support vector machines (SVMs) as classifiers, and dimensionality reduction techniques as feature extractors. To retrieve features from the neuroimages, we used principal component analysis (PCA), linear discriminant analysis, and t-distributed stochastic neighbor embedding. …”
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DermaTransNet: Where Transformer Attention Meets U-Net for Skin Image Segmentation by Anum Abdul Salam, Muhammad Usman Akram, Muhammad Haroon Yousaf, Babar Rao

“…To enhance the efficacy of analysis and assist pathologists, computer-aided diagnostic systems have been proposed to automate the process of disease detection and classification. …”
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Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition. by Pranjul Gupta, Katharina Dobs

“…Specifically, we trained CNNs on tasks involving combinations of face identification, face detection, object categorization, and object detection. …”
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Urban Road Anomaly Monitoring Using Vision–Language Models for Enhanced Safety Management by Hanyu Ding, Yawei Du, Zhengyu Xia

“…The URA-VLMs framework features dedicated modules for anomaly detection, flood depth estimation, and safety level assessment, utilizing multi-step prompting and retrieval-augmented generation (RAG) for precise and adaptive analysis. …”
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Image-Based Precision Measurement Technology for the Quality Inspection of Crane Boom Materials by Honghua Liu, Wenping Tan, Shen Cao, Hongmei Li

“…The grayscale transformation stretching method is applied to the surface image analysis of the boom material to obtain the final inspection. …”
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Development of methods for neutralizing «Zero-day» threats by A. I. Dubrovina, M. H. Alcordi

“…In this article, a behavioral analysis of the threat is used. The characteristic features of the zero-day exploit behavior have been studied. …”
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Study on β-momorcharin molecular modeling by ZHOU Xiao-dong, SHEN Fu-bing, ZHENG Jue-cun

“…The amino acid composition and hydrophilism and hydrophobicity of β-momorcharin were analyzed by DNAMAN software, and its basic features, secondary and tertiary structures, a coiled coil area and a PEST sequence were predicted by bioinformatics online websites, and the surface potential and accessibility were analysed by bioinformatics software, then the structural quality analysis and detection evaluation on the modeling result were carried out by establishing a Ramachandran graph. …”
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Medical Relevancy of Cancer-Related Tweets and Its Relation to Misinformation by Melanie McCord, Fahmida Hamid

“…The highest proportion of correctly identified “medically relevant” tweets, i.e., accuracy, was 0.795. Our analysis hints at some features and factors that can automatically improve cancer-relevant and non-relevant tweet detection.…”
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Automated mold defects classification in paintings: A comparison of machine learning and rule-based techniques. by Hilman Nordin, Bushroa Abdul Razak, Norrima Mokhtar, Mohd Fadzil Jamaludin, Adeel Mehmood

“…Subsequently, these regions are classified as mold defects using either morphological filtering or machine learning models such as Classification and Regression Trees (CART) and Linear Discriminant Analysis (LDA). The efficacy of these methods was evaluated using the Mold Features Dataset (MFD) and a separate set of test images. …”
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Epidemiological characteristics of respiratory tract infections during and after the pandemic of COVID-19 from 2021 - 2023 in Shenzhen, southern China by Qiaoruo Jin, Sheng Yu, Jiuxin Qu

“…The analysis focused on changes in detection rates, epidemiological characteristics, and clinical features of respiratory pathogens, including three viruses and eight bacteria. …”
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ORTHOSTATIC HYPOTENSIVE REACTIONS IN ELDERLY AND SENILE PATIENTS WITH ARTERIAL HYPERTENSION by I. V. Atyunina, E. V. Oshchepkova, A. N. Rogoza

“…In addition, there are still a number of unresolved issues regarding the detection of OHR in this category of patients and the determination of treatment tactics. …”
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Classification of wheat flour levels in powdered spices using visual imaging by Kamran Kheiralipour, Mohammad Hossein Nargesi

“…The present research aims to investigate the ability of image processing in the detection of wheat flour adulterant in different spices. …”
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Routing Attacks and Countermeasures in the RPL-Based Internet of Things by Linus Wallgren, Shahid Raza, Thiemo Voigt

“…Furthermore, we highlight novel security features in the IPv6 protocol and exemplify the use of these features for intrusion detection in the IoT by implementing a lightweight heartbeat protocol.…”
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A hybrid theoretical–numerical–experimental framework for robust health monitoring of thin-walled hollow composite members using guided waves by Akshay Prakash Kalgutkar, Shirsendu Sikdar, Sauvik Banerjee, Karl Walton, Rakesh Mishra

“…This study introduces a hybrid -numerical–experimental framework for robust detection and characterisation of barely visible damage in HCM using guided waves (GW). …”
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Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG by Linfeng Sui, Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao

“…Due to individual differences of patients, the iEEG signal from different patients usually shows very diverse features even if the features belong to the same class. …”
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Shannon entropy approach reveals relevant genes in Alzheimer's disease. by Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Eufemia Lella, Angela Lombardi, Anna Monda, Andrea Tateo, Roberto Bellotti, Sabina Tangaro

“…In this perspective, we implemented a method proposed in a previous work to detect gene communities linked to AD. Our strategy combined co-expression network analysis with the study of Shannon entropy of the betweenness. …”
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