Evolutionary-Driven Convolutional Deep Belief Network for the Classification of Macular Edema in Retinal Fundus Images by Rafael A. García-Ramírez, Ivan Cruz-Aceves, Arturo Hernández-Aguirre, Gloria P. Trujillo-Sánchez, Martha A. Hernandez-González

“…Additionally, a Real-Coded Genetic Algorithm optimizes the parameters of Gabor filters and the network, ensuring optimal feature extraction and classification performance. …”
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Extraction and location of subway shield tunnel segment joints from RMLS point clouds by Liying Wang, Ze You, Yong Feng, Chunxi Xie, Mahamadou Camara

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Development of a Novel Real-Time Weighted Surrogate Model for Wind Turbine-Based on DFIG: Enhancing Computational Efficiency in Power Systems With Error Bound by Muhammad Latif, Hira Ambreen, Tang Diyin, Farrukh Hassan, Muhammad Imran, Saddam Hussain Abbasi, Muhammad Imran

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Leveraging machine learning to proactively identify phishing campaigns before they strike by Kun Zhang, Haifeng Wang, Meiyi Chen, Xianglin Chen, Long Liu, Qiang Geng, Yu Zhou

“…Feature selection was conducted using SHapley Additive Explanations (SHAP) and Recursive Feature Elimination (RFE) to enhance interpretability and computational efficiency. …”
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Automating areas of interest analysis in mobile eye tracking experiments based on machine learning by Julian Wolf, Stephan Hess, David Bachmann, Quentin Lohmeyer, Mirko Meboldt

“…We introduce a new machine learning-based algorithm, the computational Gaze-Object Mapping (cGOM), that automatically maps gaze data onto respective AOIs. cGOM extends state-of-the-art object detection and segmentation by mask R-CNN with a gaze mapping feature. …”
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HMS-PAU-IN: A heterogeneous multi-scale spatiotemporal interaction network model for population analysis units by Xiaorui Yang, Rui Li, Jing Xia, Junhao Wang, Hongyan Li, Nixiao Zou

“…To validate the model, we developed a population prediction model that integrates the multi-scale features of PAUs and introduced Leiden-IES-PMS, a community detection method based on the Leiden algorithm, which integrates internal and external environmental semantics and adopts a proximity merging strategy. …”
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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…This study focuses on the main features and applications of multi-robot SLAM in complex agricultural scenarios. …”
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Enhancing cybersecurity via attribute reduction with deep learning model for false data injection attack recognition by Faheed A.F. Alrslani, Manal Abdullah Alohali, Mohammed Aljebreen, Hamed Alqahtani, Asma Alshuhail, Menwa Alshammeri, Wafa Sulaiman Almukadi

“…The attribute reduction process gets invoked using the modified Lemrus optimization algorithm (MLOA) to choose optimal feature sets. Moreover, the FDIA detection process is performed by modelling an improved deep belief network (IDBN) model. …”
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Research on Data-Driven Performance Assessment and Fault Early Warning of Marine Diesel Engine by Haiyan Wang, Zihan Wang, Biao Shi

“…By integrating the SSD (steady-state detection) algorithm, a data-driven CLIQUE clustering algorithm was chosen for automatic multi-parameter high-dimensional running condition partitioning. …”
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An Advanced Recomposition-Based Displaying Technique: Maximizing Image Reconstruction for Virtual Museum Applications by Jingjie Zhao, Xin Shi, Olga Yezhova, Qinchuan Zhan, Xijing Zhang

“…We present an advanced recomposition-based displaying technique designed to optimize intelligent scene retargeting in hybrid-reality environments, with two key contributions: Geometry-preserving and Human-inspired Active Detection (GHAD) and time-sensitive feature selection. …”
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Enhanced Channel Estimation for RIS-Assisted OTFS Systems by Introducing ELM Network by Mintao Zhang, Zhiying Liu, Li Wang, Wenquan Hu, Chaojin Qing

“…Applying the classic message passing algorithm for data symbol detection, simulation results demonstrate the effectiveness of the proposed method in improving the symbol detection (SD) performance of RIS-assisted OTFS systems. …”
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A novel data-driven based high-precision building roof contour full-automatic extraction and structured 3D reconstruction method combining stereo images and LiDAR points by Xiongwu Xiao, Kai Wang, Zhichao Zhong, Wenhu Qu, Weiwei Wu, Zhigao Cui, Yanzhao Su, Aihua Li, Jianya Gong, Deren Li

“…Firstly, an improved Sobel-based-operator is designed, which effectively improves the detection rate of building-edge-features. Secondly, based on a buffer constraint strategy, a method for automatically removing non-building linear features that away from the building boundaries is proposed. …”
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Fuzzy Rule-Based Combination Model for the Fire Pixel Segmentation by Alberto Lopez-Alanis, Hector de-la-Torre-Gutierrez, Arturo Hernandez-Aguirre, Maria T. Orvananos-Guerrero

“…Color-feature-based wildfire pixel segmentation has become a challenging task extensively addressed in various research studies. …”
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Managing demolition wastes using GIS and optimization techniques by Mohamed Marzouk, Eman Othman, Mahmoud Metawie

“…Based on the raster image of the study region, the framework detects existing buildings that should be demolished to enable highways’ expansion. …”
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Marine Mammals Classification using Acoustic Binary Patterns by Maheen NADIR, Syed Muhammad ADNAN, Sumair AZIZ, Muhammad Umar KHAN

“…Prior methods for classification focused on spectral features which result in increasing bias for contour base classifiers in automatic detection algorithms. …”
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Predictive analytics of complex healthcare systems using deep learning based disease diagnosis model by Muhammad Kashif Saeed, Alanoud Al Mazroa, Bandar M. Alghamdi, Fouad Shoie Alallah, Abdulrhman Alshareef, Ahmed Mahmud

“…The histopathological diagnoses are critical in detecting this kind of cancer. This diagnostic testing is a substantial part of the patient’s treatment. …”
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Adaptive zero velocity correction method for fiber optic inertial navigation system in coal mining roadheader by Qinghua MAO, Qing ZHOU, Jianquan CHAI, Yanzhang CHEN, Wenjuan YANG, Xusheng XUE

“…Finally, the accuracy of zero-speed detection is improved by introducing the sandcat swarm optimization algorithm to optimize the kernel function and penalty parameters.Aiming at the problem of high cost and error accumulation with time of high-precision fiber-optic inertial navigation, an adaptive zero-speed correction method is proposed. …”
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IT Parkinson’s Disease Diagnostics Based on the Freezing of Gait Analysis Using Long Short Term Memory Neural Network by U. A. Vishniakou, Xia YiWei

“…First, the DAPHNet datasets were segmented using a fixed sliding window algorithm. The wavelet algorithm was then used to extract features from the data set: wavelet entropy and energy, wavelet waveform length, variance and standard deviation of wavelet coefficient. …”
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Distinguishing Human Journalists from Artificial Storytellers Through Stylistic Fingerprints by Van Hieu Tran, Yakub Sebastian, Asif Karim, Sami Azam

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A Deep Learning Framework for Chronic Kidney Disease stage classification by Gayathri Hegde M, P Deepa Shenoy, Venugopal KR, Arvind Canchi

“…MHMXAI approach selects the features with the highest scores from the Metaheuristic algorithm-Eagle Search Strategy, Hybrid Metaheuristic algorithm-Great Salmon Run-Thermal Exchange Optimization and eXplainable AI (XAI) tools like Local Interpretable Model-agnostic Explanations (LIME) and Shapley Additive exPlanations (SHAP) for their effectiveness. …”
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