Classification of Riau Batik Motifs Using the Convolutional Neural Network (CNN) Algorithm by Dhea Amanda Ramadhan, Dian Ramadhani

“…By leveraging the Convolutional Neural Network (CNN) algorithm, the classification system was trained using a dataset of 1,440 images. …”
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Identification of hateful amharic language memes on facebook using deep learning algorithms by Mequanent Degu Belete, Girma Kassa Alitasb

“…On Facebook, hate speech can proliferate through text, image, or video. We suggested a deep learning approach to identify offensive memes posted on Facebook in case of Amharic language'. …”
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MAF: An algorithm based on multi-agent characteristics for infrared and visible video fusion. by Yandong Liu, Linna Ji, Fengbao Yang, Xiaoming Guo

“…This approach establishes a multi-layered, dynamically adaptable fusion model, enabling real-time adjustments to the fusion algorithm during the infrared and visible video fusion process. …”
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Research on Fast Algorithm of Radio Wave Propagation in Low-Lossy Obstacles Environment by An-qi Li, Cheng-you Yin, Qian-qian Zhang, Yong-ji Gan

“…After that, we explain the algorithm steps in the process of calculating the total field, compared with the traditional 2W-PE, and then finally introduce the method of moments (MoM) combined with the enhanced discrete complex image (E-DCIM) method for accuracy verification of the new 2W-PE algorithm. …”
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Improved HLLL Lattice Basis Reduction Algorithm to Solve GNSS Integer Ambiguity by Kezhao Li, Chendong Tian, Yingxiang Jiao, Zhe Yue

“…Compared with the LLL reduction algorithm and HLLL reduction algorithm, the experimental results show that the PHLLL algorithm has higher reduction efficiency and effectiveness. …”
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Construction of prognostic scoring model for ovarian cancer based on deep learning algorithm by Xiaolin Zhong, Hongyang Xiao, Weihong Lu, Jiayuan Chen, Fan Chao, Ruiqin Tu

“…The aim of this study was to develop a prognostic prediction model for ovarian cancer based on pathological images. 158 In-house and 105 TCGA-OV pathological slides were processed with Macenko’s algorithm for stain normalization and patch extraction (256 × 256 pixels). …”
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Deep Learning Algorithm for Optimized Sensor Data Fusion in Fault Diagnosis and Tolerance by M. Elhoseny, Deepak Dasaratha Rao, Bala Dhandayuthapani Veerasamy, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla

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Brain Computer Interface using Genetic Algorithm with modified Genome and Phenotype Structures by Rohtash Dhiman, A Anshul

“…The classification and processing of neural activity in the brain accessed by Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), functional Magnetic Resonance Imaging (fMRI), Electrocorticography (ECoG), EEG Electroencephalogram (EEG) etc., are peeling off new paradigms for pattern recognition in human brain-machine interaction applications. …”
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Identification and Estimation of Landslide Erosion Rate Based on Particle Swarm Optimization Algorithm by GENG Haopeng, XU Ziyi, GUO Yu, ZHANG Jian

“…［Objective］ To construct a comprehensive multi-temporal landslide inventory across the Eastern Himalayan Syntaxis and quantify landslide-driven erosion rates, thereby revealing the geomorphological significance of landslide processes in this region. ［Methods］ The Particle Swarm Optimization (PSO) algorithm was employed to detect the change of the Normalized Difference Vegetation Index (NDVI) from remote sensing images, and a multi-temporal landslide inventory for the Eastern Syntaxis from 1987 to 2021 was constructed. …”
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Synthetic Aperture Radar Processing Using Flexible and Seamless Factorized Back-Projection by Mattia Giovanni Polisano, Marco Manzoni, Stefano Tebaldini

“…When designing a focusing algorithm for large-scale and high-resolution SAR images, efficiency and accuracy are two mandatory aspects to consider. …”
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A Novel Technique for Facial Recognition Based on the GSO-CNN Deep Learning Algorithm by Rana H. Al-Abboodi, Ayad A. Al-Ani

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PROCESS MANAGEMENT SYSTEMS IN THE BUSINESS-ORIENTED MODEL OF ENTERPRISE DEVELOPMENT by Valentyna A. Pavlova

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Matching of Observation Footprints in the FY-3G MWRI-RM Using BGI by Ke Chen, Bowen Cai, Wei Han, Zihao Suo

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Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt by Mohammad Nishat Akhtar, Waseem Ahmed, Muhammad Rafiq Kakar, Elmi Abu Bakar, A. R. Othman, Moises Bueno

“…To attain high accuracy from image processing algorithms, the loss of pixels plays an essential role. …”
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Dynamic display algorithm of sonar data based on grayscale distribution model and computational intelligence by Hongquan Lei, Diquan Li, Haidong Jiang

“…Existing image processing and target recognition algorithms have limitations in complex underwater environments and dynamic changes, making it difficult to ensure real-time and precision. …”
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Facial recognition targeted attack algorithm based on multiscale frequency decomposition and meta-learning by CAI Jun, HUANG Tianqiang, ZHENG Aokun, YE Feng, XU Chao

“…This algorithm employed a source facial image to generate high-quality makeup. …”
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Fixation sequences in imagery and in recognition during the processing of pictures of real-world scenes by Katherine Humphrey, Geoffrey Underwood

“…Thirty photographs of real-world scenes were presented for encoding, and half the participants then performed a recognition test, deciding whether each of 60 images were old (from the original set) or new. The other participants performed an imagery task immediately after encoding each of the 30 images. …”
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Green Ground: Construction and Demolition Waste Prediction Using a Deep Learning Algorithm by Wadha N. Alsheddi, Shahad E. Aljayan, Asma Z. Alshehri, Manar F. Alenzi, Norah M. Alnaim, Maryam M. Alshammari, Nouf K. AL-Saleem, Abdulaziz I. Almulhim

“…The model obtained an overall accuracy of 97.12%. The Green Ground image prediction model is extremely useful in the construction and demolition industry for automating sorting processes. …”
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Focusing Highly Squinted FMCW-SAR Data Using the Modified Wavenumber-Domain Algorithm by Tinghao Zhang, Yachao Li, Mingze Yuan, Liang Guo, Jiao Guo, Hao Lin, Mengdao Xing

“…To overcome these issues, a modified wavenumber-domain algorithm is developed in this article. The proposed modified wavenumber-domain algorithm mainly includes the following six aspects. …”
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Design and Experimental Study of Electrical Impedance Tomography System for Tumor Ablation Boundary Monitoring by Wei WEI, Lidong XING, Xiaofei JIN, Zhiyu QIAN, Jingqi SONG, Kairan WAN, Haotian WANG

“…At the same time, the innovative introduction of a programmable gain feedforward signal as the parameter signal of the multiplier demodulator in the electrical impedance tomography system design can effectively solve the problem of weak signals being submerged in noise and improve imaging accuracy. The system controls the amplitude of the excitation current signal and the acquisition / processing of boundary voltages via an STM32, uploads the collected data to an upper computer, and reconstructs the conductivity distribution using the Newton-Raphson algorithm to map the size of the ablation area. …”
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