Monitoring and modeling the process of expansion and physical development of cities by applying the combined method of neural network and neighborhood filter by Iman Bajelan

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Legal Judgment Prediction using Natural Language Processing and Machine Learning Methods: A Systematic Literature Review by Nasa Zata Dina, Sri Devi Ravana, Norisma Idris

“…Legal Judgment Prediction (LJP) study is experiencing a growing need for automating legal judgment process to predict court decisions. In this context, the present paper provides a systematic literature review of previous LJP study, implementing machine learning (ML) as decision-making and natural language processing (NLP) to extract information from legal judgment documents. …”
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Characterization of Dielectric Relaxation Process by Impedance Spectroscopy for Polymers: Nitrile Butadiene Rubber and Ethylene Propylene Diene Monomer by Jae Kap Jung, Young Il Moon, Gyung Hyun Kim, Nae Hyung Tak

“…By applying the created program to polymers such as nitrile butadiene rubber (NBR) and ethylene propylene diene monomer (EPDM), several relaxation processes were characterized: an α process due to segmental motions of the C-C bond, an α′ process attributed to fluctuations in the end-to-end dipole vector of the polymer chain, the conduction contribution by the filler observed above room temperature, and secondary relaxation processes β and γ of motion for the side group in NBR. …”
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Advancing sedimentation modeling in large reservoir systems: Insights from multi-scale process coupling and machine learning by Yuning Tan, Huaixiang Liu, Yongjun Lu, Zhili Wang, Wenjie Li

“…To address this issue, this study proposes a novel modeling framework that integrates multi-scale physical processes (sediment sources, inflow, and deposition) with machine learning (ML) techniques. …”
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Enhancing Review Processing in the Video Game Adaptation Domain through VADER and Rating-Based Labeling using SVM by Danita Divka Sajmira, Khothibul Umam, Maya Rini Handayani

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ML-based approach to potato diseases diagnosis using image processing and whale optimization algorithm for feature selection by Zhongxu Li, Seyed Mohamad Javidan

“…In the domain of plant pathology, image processing combined with artificial intelligence has emerged as a crucial approach for accurate plant disease identification. …”
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Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans. by Mei Zhan, Matthew M Crane, Eugeni V Entchev, Antonio Caballero, Diana Andrea Fernandes de Abreu, QueeLim Ch'ng, Hang Lu

“…Here, we present a generalizable formulation for autonomous identification of specific biological structures that is applicable for many problems. The process flow architecture we present here utilizes standard image processing techniques and the multi-tiered application of classification models such as support vector machines (SVM). …”
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Evaluation of data processing pipelines on real-world electronic health records data for the purpose of measuring patient similarity. by Maria Pikoula, Constantinos Kallis, Sephora Madjiheurem, Jennifer K Quint, Mona Bafadhel, Spiros Denaxas

“…In this context, the process of constructing clinically meaningful patient representations from complex datasets has not been systematically evaluated.…”
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Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python by Polina Lemenkova

“…A series of modules for raster image processing was applied using scripting language of GRASS GIS to process the remote sensing data. …”
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Optimising a novel biofilm-based process using Neurospora discreta for enhanced treatment of lignin-rich wastewater by Himani Taneja, Shamas Tabraiz, Asma Ahmed

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Unveiling Arabic named entity recognition using natural language processing with artificial intelligence approach on Moroccan dialect by Wala Bin Subait, Nazir Ahmad, Muhammad Swaileh A. Alzaidi, Mohammed Alqahtani, Asma A. Alhashmi, Nojood O. Aljehane, Mohammed Alshahrani, Shoayee Dlaim Alotaibi

“…Abstract Named entity recognition (NER) is a significant natural language processing task (NLP) in several applications, including question-answering and data retrieval. …”
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Machine-Learning-Algorithm-Assisted Portable Miniaturized NIR Spectrometer for Rapid Evaluation of Wheat Flour Processing Applicability by Yuling Wang, Chen Zhang, Xinhua Li, Longzhu Xing, Mengchao Lv, Hongju He, Leiqing Pan, Xingqi Ou

“…In this investigation, we established an intelligent computational framework comprising a novel starfish-optimization-algorithm-optimized support vector regression (SOA-SVR) model and a multi-algorithm joint strategy to evaluate the processing applicability of wheat flour in terms of sedimentation value (SV) and falling number (FN) using near-infrared (NIR) data (900–1700 nm) obtained using a miniaturized NIR spectrometer. …”
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Research on a New Method of Macro–Micro Platform Linkage Processing for Large-Format Laser Precision Machining by Longjie Xiong, Haifeng Ma, Zheng Sun, Xintian Wang, Yukui Cai, Qinghua Song, Zhanqiang Liu

“…The research in this field has evolved from step-and-scan methods to linkage processing methods. Nevertheless, the existing linkage processing methods cannot make full use of the field-of-view (FOV) of the galvanometer. …”
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Feasibility Analysis of Tamura Features in the Identification of Machined Surface Images Using Machine Learning and Image Processing Techniques by Raghavendra C. Kamath, G. S. Vijay, Ganesha Prasad, P. Krishnananda Rao, Uday Kumar Shetty, Gautham Parameshwaran, Aniket Shenoy, Prithvi Shetty

“…Texture analysis through computer vision, image processing, classification using artificial neural networks (ANN), and various machine learning techniques have been prominent research areas in recent decade. …”
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GPU Accelerated Trilateral Filter for MR Image Restoration by Suthir Sriram, Nivethitha Vijayaraj, T. Srilekha, M. Praveena, Thangavel Murugan

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The Family Role in the Rehabilitation Process of Children with Cerebral Palsy Using the Biofeedback Technology: a Randomized Controlled Study by Larisa L. Korsunskaya, Viktoria A. Verbenko, Elena A. Birukova, Liliia S. Orekhova, Alexandr A. Dvirskiy

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Identifying Non-Functional Requirements From Unconstrained Documents Using Natural Language Processing and Machine Learning Approaches by Qais A. Shreda, Abualsoud A. Hanani

“…In our approach, features were extracted from the requirement sentences using four different natural language processing methods including statistical and state-of-the-art semantic analysis presented by Google word2vec and bidirectional encoder representations from transformers models. …”
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Cluster-Based Flight Path Construction for Drone-Assisted Pear Pollination Using RGB-D Image Processing by Arata Kuwahara, Tomotaka Kimura, Sota Okubo, Rion Yoshioka, Keita Endo, Hiroyuki Shimizu, Tomohito Shimada, Chisa Suzuki, Yoshihiro Takemura, Takefumi Hiraguri

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Adaptive Motion Vector Resolutions in Raw Plenoptic Video Coding by Thuc Nguyen Huu, Vinh Van Duong, Jonghoon Yim, Byeungwoo Jeon

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VECTOR ELECTROCARDIOGRAPHY IN THE DIAGNOSTICS OF FOCAL CHANGES IN THE MYOCARDIUM by I. Ye. Belaya, V. I. Kolomiets, G. Ye. Vislouh

“…Vector electrocardiography, allows us to investigate the periodic distribution of the electromotive force in dynamics over the entire surface of the heart, and also makes it possible to obtain detailed information about the functional state of the myocardium, specifying the depth and extent of the pathological process.…”
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