A Novel Detection-and-Replacement-Based Order-Operator for Differential Evolution in Solving Complex Bound Constrained Optimization Problems by Sichen Tao, Sicheng Liu, Shoya Ohta, Ruihan Zhao, Zheng Tang, Yifei Yang

“…The CEC2017 set focuses on assessing the optimization capability of theoretical complex functions, covering problems of various dimensions and types; the CEC2011 set, on the other hand, targets multimodal and hybrid optimization challenges in real engineering contexts, featuring higher structural complexity and generalization requirements. …”
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Improving outcomes for people with autism spectrum disorders by reducing mental health problems: the IAMHealth research programme including one RCT by Emily Simonoff, Gillian Baird, Bryony Beresford, Tony Charman, Martin Knapp, Andrew Pickles, Carol Povey, Tom Purser, Paramala Santosh, Vicky Slonims, Stephen Scott

“…However, we showed that autistic people and their families often find it difficult to discern the difference between autistic features and mental health and behavioural problems. …”
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BotCatcher:botnet detection system based on deep learning by Di WU, Binxing FANG, Xiang CUI, Qixu LIU

“…Machine learning technology has wide application in botnet detection.However,with the changes of the forms and command and control mechanisms of botnets,selecting features manually becomes increasingly difficult.To solve this problem,a botnet detection system called BotCatcher based on deep learning was proposed.It automatically extracted features from time and space dimension,and established classifier through multiple neural network constructions.BotCatcher does not depend on any prior knowledge which about the protocol and the topology,and works without manually selecting features.The experimental results show that the proposed model has good performance in botnet detection and has ability to accurately identify botnet traffic .…”
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Discrete Cosine Transform-Based Joint Spectral–Spatial Information Compression and Band-Correlation Calculation for Hyperspectral Feature Extraction by Ziqi Zhao, Changbao Yang, Zhongjun Qiu, Qiong Wu

“…To address this over-smoothing problem, we designed a method for extracting spectral–spatial-band-correlation (SSBC) features. …”
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Blind Infrared Remote-Sensing Image Deblurring Algorithm via Edge Composite-Gradient Feature Prior and Detail Maintenance by Xiaohang Zhao, Mingxuan Li, Ting Nie, Chengshan Han, Liang Huang

“…To address this challenge, traditional methods often rely on sparse regularization priors to mitigate the uncertainty inherent in the problem. In this paper, we propose a novel blind deblurring model based on the MAP framework that leverages Composite-Gradient Feature (CGF) variations in edge regions after image blurring. …”
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An MPI-based parallel genetic algorithm for multiple geographical feature label placement based on the hybrid of fixed-sliding models by M. Naser Lessani, Zhenlong Li, Jiqiu Deng, Zhiyong Guo

“…Multiple Geographical Feature Label Placement (MGFLP) has been a fundamental problem in geographic information visualization for decades. …”
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ARTERIAL HYPERTENSION IN SYSTEMIC VASCULITIS: CLINICAL FEATURES AND PRINCIPLES OF PATHOGENETIC THERAPY. PART I. CLINICAL, DIAGNOSTIC AND PATHOGENETIC ASPECTS by E. A. Praskurnichy, N. G. Poteshkina

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ARTERIAL HYPERTENSION IN SYSTEMIC VASCULITIS: CLINICAL FEATURES AND PRINCIPLES OF PATHOGENETIC THERAPY. PART II. POSSIBILITIES OF OPTIMIZING OF ANTIHYPERTENSIVE TREATMENT by E. A. Praskurnichy, N. G. Poteshkina

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Research on Multi-Scale Spatio-Temporal Graph Convolutional Human Behavior Recognition Method Incorporating Multi-Granularity Features by Yulin Wang, Tao Song, Yichen Yang, Zheng Hong

“…Aiming at the problem that the existing human skeleton behavior recognition methods are insensitive to human local movements and show inaccurate recognition in distinguishing similar behaviors, a multi-scale spatio-temporal graph convolution method incorporating multi-granularity features is proposed for human behavior recognition. …”
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Specific Features of Interaction between Criminal Police Divisions and Other Subjects within Counteracting Criminal Offenses against Morality by O. M. Yemets

“…During the research the author has used the system of methods of scientific cognition: formal logic (abstraction, analogy, deduction, induction, synthesis) for the detailed clarification of the content of the considered issues; empirical – during the experimental study; method of system analysis – to determine the directions of introduction of innovative approaches to solve the problem; theoretical – during the study of scientific and educational literature; modeling – in the study of certain objects by modeling their individual features. …”
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A Crowd Counting and Localization Network Based on Adaptive Feature Fusion and Multi-Scale Global Attention Up Sampling by Min Wang, Li Huang, Jingke Yan, Jin Huang, Tao Yang

“…Firstly, addressing the limitations of density maps in localization performance in existing algorithms, we optimize the generation method of FIDT maps, decoupling the counting and localization tasks. By avoiding the problem of overlap in dense areas, the optimized label maps achieve a good balance between counting accuracy and localization, with MAE and MSE reaching 64.1 and 103.9 in SHHA, and 10.9 and 17.4 in SHHB, respectively.Secondly, to address the scale insensitivity of the encoder and the potential loss of critical features during the encoding process, we propose the Adaptive Feature Fusion Module and the Multi-Scale Global Attention Upsampling Module, constructing the CALNET network. …”
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Fault Location on Radial Distribution Systems Using Wavelets and Artificial Neural Networks with a New Data Processing Feature by NERI Jr., A. L., MOREIRA, F. A., de SOUZA, B. A.

“…Under permanent fault conditions, maintenance crew has the duty to detect the problem, repair the defect and recover the power supply system. …”
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Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery by Houda Labjar, Mohammad Al-Sarem, Mohamed Kissi

“…This paper presents an approach that uses both genetic algorithm (GA) and fuzzy inference system (FIS), for feature selection for descriptor in a quantitative structure activity relationships (QSAR) classification and prediction problem. …”
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Design and evaluation of a new tent-shaped transfer function using the Polar Lights Optimizer algorithm for feature selection by Zaynab Ayham Almishlih, Omar Saber Qasim, Zakariya Yahya Algamal

“… This research aims to develop a new transfer function to transform continuous space to binary space using the Polar Lights Optimizer (PLO) algorithm for the feature selection problem. The PLO algorithm relies on simulating the behaviour of the aurora borealis to achieve a balance in exploring and exploiting binary space. …”
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Correlation features of oral mucosits and psychological status in patients with squamous cell carcinoma of the oral mucosa at the stage of chemoradiation therapy by A. A. Dzhereley, I. G. Romanenko, К. A. Arakelyan, D. Y. Kryuchkov, S. М. Gorobets, S. A. Bobkova

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Obstacle Feature Information-Based Motion Decision-Making Method for Obstacle-Crossing Motions in Lower Limb Exoskeleton Robots by Yuepeng Zhang, Guangzhong Cao, Jun Wu, Bo Gao, Linzhong Xia, Chen Lu, Hui Wang

“…To overcome the problem of insufficient adaptability to the motion environment of lower limb exoskeleton robots, this paper introduces computer vision technology into the motion control of lower limb exoskeleton robots and studies an obstacle-crossing-motion method based on detecting obstacle feature information. …”
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Weighted Feature Fusion Network Based on Large Kernel Convolution and Transformer for Multi-Modal Remote Sensing Image Segmentation by Jianxia Wang, Shaozu Qiu, Jia Cai, Xiaoming Zhang

“…The heterogeneity and complexity of multi-modal data in high-resolution remote sensing images posed a severe challenge to existing cross-modal networks that aim to fuse complementary information of high-resolution optical and elevation data information (DSM) to achieve accurate semantic segmentation. To solve this problem, a weighted feature fusion network based on large kernel convolution and Transformer (LTFCNet) was proposed. …”
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WT-HMFF: Wavelet Transform Convolution and Hierarchical Multi-Scale Feature Fusion Network for Detecting Infrared Small Targets by Siyu Li, Jingsi Huang, Qingwu Duan, Zheng Li

“…To tackle this problem, we introduce WT-HMFF, an innovative network architecture that combines the Wavelet Transform Convolution (WTConv) module with the Hierarchical Multi-Scale Feature Fusion (HMFF) module to enhance the ISTD algorithm’s performance. …”
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THE EFFECT OF GENRE-BASED MENTORING ON LINGUISTIC FEATURE QUALITY OF RESEARCH ARTICLE ABSRACTS BY INDONESIAN LECTURERS IN SOCIAL SCIENCES AND HUMANITIES by Dedi Jasrial, Safnil Arsyad, Arono Arono

“… Meta-discourse is one of the linguistic features that have gotten considerable attention in writing a research article abstract recently. …”
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A comparison of supervised machine learning algorithms and feature vectors for MS lesion segmentation using multimodal structural MRI. by Elizabeth M Sweeney, Joshua T Vogelstein, Jennifer L Cuzzocreo, Peter A Calabresi, Daniel S Reich, Ciprian M Crainiceanu, Russell T Shinohara

“…We focus on a particular problem from medical research, supervised multiple sclerosis (MS) lesion segmentation in structural magnetic resonance imaging (MRI). …”
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