Texture Aware Deep Feature Map Based Linear Weighted Medical Image Fusion by Vijayarajan Rajangam, Dheeraj Kandikattu, Utkarsh, Mukul Kumar, Alex Noel Joseph Raj

“…In this paper, the objective is to obtain a comprehensive image that presents composite image details from the two multimodal images of the same ROI. …”
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Comparative Analysis of Machine Learning Algorithms With Advanced Feature Extraction for ECG Signal Classification by Tanuja Subba, Tejbanta Chingtham

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Rare complications after esophagectomy: incidence, clinical features, risk factors, management, and prevention by Guoqing Zhang, Jia Jiao, Long Qiu, Zheng Ding, Jia Zhao, Xue Pan, Xiangnan Li

“…However, the attention paid to rare complications, which often lead to serious consequences if they are not diagnosed in a timely manner, has not been sufficient. In this article, we present both the clinical and imaging features of rare complications following esophagectomy and strategies for their prevention and management. …”
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MACHINE LEARNING BASED STRATEGY FOR MITM ATTACK MITIGATION UTILIZING HYBRID FEATURE SELECTION by Pratik Kumar Swain, Suneeta Satpathy, Srinivasa Rao Pokuri

“…This study integrates machine learning classification, dimensionality reduction, and hybrid feature selection to present a novel approach for MITM threat identification. …”
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SFEF-Net: Scattering Feature Extraction and Fusion Network for Aircraft Detection in SAR Images by Qiang Zhou, Zongxu Pan, Ben Niu

“…Synthetic aperture radar (SAR) offers robust Earth observation capabilities under diverse lighting and weather conditions, making SAR-based aircraft detection crucial for various applications. However, this task presents significant challenges, including extracting discrete scattering features, mitigating interference from complex backgrounds, and handling potential label noise. …”
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Network traffic anomaly detection model based on feature grouping and multi‐autoencoders integration by Yang Zhou, Haoyang Zeng, Zhourong Zheng, Wei Zhang

“…Abstract This paper presents a network traffic anomaly detection model based on feature grouping and multiple autoencoders (multi‐AEs) integration. …”
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Investigation of the Features Influencing the Accuracy of Wind Turbine Power Calculation at Short-Term Intervals by Pavel V. Matrenin, Dmitry A. Harlashkin, Marina V. Mazunina, Alexandra I. Khalyasmaa

“…Some of these measurements are erroneous, while others are influenced by additional factors affecting generation beyond wind speed alone. This study presents an investigation of the features influencing the accuracy of calculations of wind turbine power at short-term intervals. …”
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Automation of Multi-Class Microscopy Image Classification Based on the Microorganisms Taxonomic Features Extraction by Aleksei Samarin, Alexander Savelev, Aleksei Toropov, Aleksandra Dozortseva, Egor Kotenko, Artem Nazarenko, Alexander Motyko, Galiya Narova, Elena Mikhailova, Valentin Malykh

“…This study presents a unified low-parameter approach to multi-class classification of microorganisms (micrococci, diplococci, streptococci, and bacilli) based on automated machine learning. …”
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Local kernel renormalization as a mechanism for feature learning in overparametrized convolutional neural networks by R. Aiudi, R. Pacelli, P. Baglioni, A. Vezzani, R. Burioni, P. Rotondo

“…This finding highlights a simple mechanism for feature learning that can take place in overparametrized shallow convolutional neural networks, but not in shallow fully-connected architectures or in locally connected neural networks without weight sharing.…”
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In Situ Active Contour-Based Segmentation and Dimensional Analysis of Part Features in Additive Manufacturing by Tushar Saini, Panos S. Shiakolas

“…This research presents a novel in situ vision-based framework for AM to identify in real-time in-layer features and estimate their shape and printed dimensions and then compare them with the as-processed layer features to evaluate geometrical differences. …”
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Photonic crystal biosensor featuring an eye-shaped cavity for precise identification of cancerous cells by Salma Rizk, Seham Abd-Elsamee, El Said A. Marzouk, Nihal F. F. Areed

“…Abstract This article presents a highly sensitive and thermally stable photonic crystal (PhC) biosensor designed for accurate cancer-cell detection. …”
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Plantar acral melanoma: epidemiological, clinical, dermoscopic and histopathological features. A Brazilian cohort by Lucas Campos Garcia, João Renato Vianna Gontijo, Flávia Vasques Bittencourt

“…Objectives: To describe and correlate the epidemiological, clinical, dermoscopic, and histopathological features of AM a. Methods: Single-center, retrospective and cross-sectional study, evaluating data from a 15-year period. …”
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Energy features of CO₂-cycles during oxygen combustion of methanol by P. A. Shchinnikov, I. S. Sadkin, O. V. Borush, R. V. Romanenko

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AI-based tool wear prediction with feature selection from sound signal analysis by Viet Q. Vu, Tien-Ninh Bui, Minh-Quang Tran

“…Hilbert transform (HT) is then applied to each IMF to generate the respective instantaneous frequencies, and the most significant statistic features correlated to the tool wear are selected using the collinearity diagnostics. …”
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Distinguishable IQ Feature Representation for Domain-Adaptation Learning of WiFi Device Fingerprints by Abdurrahman Elmaghbub, Bechir Hamdaoui

“…The proposed representation significantly enhances the robustness and generalizability of DL-based RFFP methods, thereby presenting a transformative solution to IQ data-based device fingerprinting.…”
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Improved RT-DETR for Infrared Ship Detection Based on Multi-Attention and Feature Fusion by Chun Liu, Yuanliang Zhang, Jingfu Shen, Feiyue Liu

“…Additionally, a channel attention module is employed during feature selection, leveraging high-level features to filter low-level information and enabling efficient multi-level fusion. …”
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Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification by Mohanmuralidhar Prajwala, Prabhuswamy Prajwal Kumar, Shanubhog Maheshwarappa Gopinath, Shivakumara Palaiahnakote, Mahadevappa Basavanna, Daniel P. Lopresti

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Developmental features and unique characteristics of peptide-specific PLZF+ innate-like T cells in mice by Ahmed Hassan, Nico Heise, Anja Schimrock, Stefanie Willenzon, Inga Ravens, Reinhold Förster, Hristo Georgiev

“…Abstract Peptide-specific PLZF+ innate-like T (PILT) cells are a member of the innate-like T cell family utilizing a diverse set of T cell receptor (TCR) Vβ chains. Yet there are no present studies providing clues into the developmental features of PILT cells at a transcriptome level. …”
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ML-Based Quantitative Analysis of Linguistic and Speech Features Relevant in Predicting Alzheimer’s Disease by Tripti Tripathi, Rakesh Kumar

“…Detecting AD early is crucial for prompt treatment and effective management. This study presents a novel approach for detecting and classifying six types of cognitive impairment using speech-based analysis, including probable AD, possible AD, mild cognitive impairment (MCI), memory impairments, vascular dementia, and control. …”
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Key Technology of Communication Equipment Fingerprint Recognition Based on Intelligent Feature Extraction Algorithm by Meizhen Gao, Yunquan Li, Yetong Gao

“…Aiming at the transient signal of communication equipment, an algorithm using the short-term periodicity of signal is presented. The feature extraction of steady-state signal is realized. …”
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