Sample selection using multi-task autoencoders in federated learning with non-IID data by Emre Ardıç, Yakup Genç

“…To overcome these issues, we propose novel sample selection methods for image classification, employing a multi-task autoencoder to estimate sample contributions through loss and feature analysis. Our approach incorporates unsupervised outlier detection, using one-class support vector machine (OCSVM), isolation forest (IF), and adaptive loss threshold (AT) methods managed by a central server to filter noisy samples on clients. …”
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Machine learning for Internet of Things (IoT) device identification: a comparative study by Hamid Tahaei, Anqi Liu, Hamid Forooghikian, Mehdi Gheisari, Faiz Zaki, Nor Badrul Anuar, Zhaoxi Fang, Longjun Huang

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Assessing water quality environmental grades using hyperspectral images and a deep learning model: A case study in Jiangsu, China by Hongran Li, Hui Zhao, Chao Wei, Min Cao, Jian Zhang, Heng Zhang, Dongqing Yuan

“…The model is specifically designed to integrate both channel and spatial information, enabling precise water quality grade assessment by detecting subtle features within HSIs data. To validate the performance of the model, spectral data from 5 water quality regions are collected and processed via a UAV-carried spectrometer, with 4503 water quality data samples. …”
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Multimodal Model for Non-Invasive Detection of DRD2, SSTR2 and ESR1 Receptor Profiling in Pituitary Neuroendocrine Tumors: A Retrospective Study by Jianglong Lu MD, Xianpeng Wang MBBS, Jinghao Jin MBBS, Fanjie Xu MBBS, Runhua Tang MBBS, Cheng Han MD, Zerui Wu MD, Zhipeng Su PhD, Yuhang Guo PhD

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Detection and documentation of a submerged neolithic pile dwelling settlement using airborne laser bathymetry and multimedia photogrammetry - A case study at lake Mondsee by K. Riederer, D. Simböck, G. Mandlburger

“…This study presents a comparative analysis of airborne laser bathymetry (ALB) and multimedia photogrammetry for the detection and documentation of a submerged Neolithic pile dwelling settlement in Lake Mondsee, Austria. …”
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IDEA: Intellect database for emotion analysis using EEG signal by Vaishali M. Joshi, Rajesh B. Ghongade

“…In this paper, Modified Differential Entropy (MD-DE) feature extractor is proposed to detect nonlinearity and non-Gaussianity of the EEG signal. …”
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Detection and Localization of Rotor Winding Inter-Turn Short Circuit Fault in DFIG Using Zero-Sequence Current Component Under Variable Operating Conditions by Muhammad Shahzad Aziz, Jianzhong Zhang, Sarvarbek Ruzimov, Xu Huang

“…Rapid rotor-side dynamics, combined with the unique capability of DFIG to operate in multiple modes, make the fault detection in rotor windings more challenging. This paper presents a comprehensive methodology for online ITSC fault diagnosis in DFIG rotor windings based on zero-sequence current (ZSC) component analysis under variable operating conditions. …”
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Evaluation and Analysis of Elderly Mental Health Based on Artificial Intelligence by Xiao Li

“…All data were entered into a database using Excel software, and SPSS 19.0 statistical software was used for statistical analysis. Results/Discussion. The detection rate of depression (GDS≥11 points) among the elderly in a community in a certain area was 39.38%. …”
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Machine learning for detection of diffusion abnormalities-related respiratory changes among normal, overweight, and obese individuals based on BMI and pulmonary ventilation paramet... by Xin-Yue Song, Xin-Peng Xie, Wen-Jing Xu, Yu-Jia Cao, Bin-Miao Liang

“…Additionally, we performed feature importance analysis using shapley additive explanations (SHAP) and permutation importance to evaluate the contribution of individual parameters to the classification process. …”
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An UNet3+ Network based on global pyramid aggregation for change detection in optical remote-sensing imagesGosNIIASLEarning, VIsion and Remote sensing laboratory by Yanbo Sun, Wenxing Bao, Wei Feng, Kewen Qu, Xuan Ma, Xiaowu Zhang

“…Change detection (CD) is a meaningful and challenging task for remote sensing (RS) image analysis. …”
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Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Brady Metherall, Anna K. Berryman, Georgia S. Brennan

“…Machine learning models demonstrate promise in CKD detection, yet the impact on detection and classification using different sets of clinical features remains under-explored. …”
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A Weighted Facial Expression Analysis for Pain Level Estimation by Parkpoom Chaisiriprasert, Nattapat Patchsuwan

“…This study proposes a novel weighted analytical framework that integrates facial expression analysis through action units (AUs) with a facial feature-based weighting mechanism to enhance the estimation of pain intensity. …”
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Early Detection of Slight Bruises in Yellow Peaches (<i>Amygdalus persica</i>) Using Multispectral Structured-Illumination Reflectance Imaging and an Improved Ostu Method by Jian Wu, Chenlin Liu, Aiguo Ouyang, Bin Li, Nan Chen, Jing Wang, Yande Liu

“…The results indicate that the I-Otsu algorithm has the best segmentation performance for RT images, with an overall detection accuracy of 96%. This study demonstrates that M-SIRI technology combined with the I-Otsu algorithms has considerable potential in non-destructive detection of early bruises in yellow peaches.…”
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Optimization of Filter Considering Harmonic Resonance in the Distribution Network by XIA Xiangyang, XU Linju, LUO Shiwu

“…Through analysis of node admittance matrix feature values for the distribution network, the resonant position and resonant frequency are detected according to the impedance spectrum curves. …”
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Anatomical characterization of Semi-arid Bignoniaceae using light and scanning electron microscopy by Romisha Sonia, Shabnum Shaheen, Muhammad Waheed, Sana Imran, Shiekh Marifatul Haq, Murad Muhammad, Abeer Hashem, Samiha Al Shehri, Elsayed Fathi Abd-Allah

“…Three statistical tools—heat map analysis, correlation analysis, and principal component analysis (PCA)—were used to highlight distinctions and similarities among the species. …”
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Extensive Bone Marrow Involvement by BRAFV660E-Mutated Bi-Phenotypic Erdheim-Chester Neoplasm/Rosai-Dorfman Disease (Mixed Histiocytic Neoplasm) with Atypical Histological Features... by Dina Soliman, Firyal Ibrahim, Hasan Rizvi, Mahir Petkar, Zsolt Lengyel, Aliya Habib Sange, Awni Alshurafa, Ruba Yasin

“…It emphasizes the importance of awareness of mixed histiocytosis features and the role of detecting BRAF mutations, even through immunohistochemistry, in suspected histiocytic neoplasms. …”
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Significance of Machine Learning-Driven Algorithms for Effective Discrimination of DDoS Traffic Within IoT Systems by Mohammed N. Alenezi

“…In this paper, the effectiveness of supervised machine learning (ML) classification and deep learning (DL) algorithms in detecting DDoS attacks on IoT networks was investigated by conducting an extensive analysis of network traffic dataset (legitimate and malicious). …”
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EMVAS: end-to-end multimodal emotion visualization analysis system by Xianxun Zhu, Heyang Feng, Erik Cambria, Yao Huang, Ming Ju, Haochen Yuan, Rui Wang

“…The preprocessing architecture utilizes silence-based audio segmentation alongside end-to-end DeepSpeech2 audio-to-text conversion to generate a synchronized and semantically consistent data stream. For feature extraction, facial landmark detection and action unit analysis capture fine-grained visual cues; Mel-frequency cepstral coefficients, log-scaled fundamental frequency, and Constant-Q transform extract detailed audio features; and a Transformer-based encoder processes textual data for contextual emotion analysis. …”
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Masked and unmasked Face Recognition Model Using Deep Learning Techniques. A case of Black Race. by Mabiriz,I, Vicent, Ampaire, Ray Brooks, Muhoza, B. Gloria

“…Machine learning techniques such as Principal Component Analysis, Geometric Feature-Based Methods, and double threshold techniques were used in the development phase while results were classified using CNN pre-trained models. …”
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Automatic adventitious respiratory sound analysis: A systematic review. by Renard Xaviero Adhi Pramono, Stuart Bowyer, Esther Rodriguez-Villegas

“…<h4>Conclusion</h4>A review of the literature was performed to summarise different analysis approaches, features, and methods used for the analysis. …”
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