CHANGE OF MAINTENANCE OF DRY SUBSTANCES AND STARCH IN TUBERS OF POTATO IN DEPENDENCE ON TERMS OF TILL by V. K. Serderov, T. G. Chanbabaev, D. V. Serderova

“…One of the quality indexes of the use of potato varieties for their processing is high level of dry matter and starch. As a result of the research, the following varieties were identified: high-yielding are Impala, Irbit, Zhukovsky Ranniy, Manifesto, Matushka, Nevsky, Primabella, Rosara, Silvana, Spiridon and Udacha; high dry matter content are Alena, Vektor, Dzhokonda, Desiree, Matushka, Nart, Primabella and Rossi; high in starch: Desiree - 23%, Vector and Primabella - 22.2% each. …”
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A High-Precision Method for Warehouse Material Level Monitoring Using Millimeter-Wave Radar and 3D Surface Reconstruction by Wenxin Zhang, Yi Gu

“…The proposed method employs Chirp-Z Transform (CZT) super-resolution processing to enhance spectral resolution and measurement accuracy. …”
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The short video platform recommendation mechanism based on the improved neural network algorithm to the mainstream media by Mengruo Qi

“…This is because the method uses an approach based on image and user vector, combined with relevant features of the video and user. …”
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AIoT-Driven Human Activity Recognition for Versatile Framework on Multipurpose Applications by Nanik Triwahyuni, Eni Wardihani, Aminuddin Rizal, Samuel Beta, Ricky Sambora, Rindang Oktaviani

“…The five models include Naïve Bayes, Support Vector Machine (SVM), AdaBoost, ZeroR, and Random Forest. …”
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Cyberbullying detection of resource constrained language from social media using transformer-based approach by Syed Sihab-Us-Sakib, Md. Rashadur Rahman, Md. Shafiul Alam Forhad, Md. Atiq Aziz

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A crop sequence dataset of the German federal state of North Rhine-Westphalia from 2019–2024Zenodo by Christoph Pahmeyer, Till Kuhn, Hugo Storm

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Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications by Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, Md Mifthahul Jannat Maktum

“…DTs provide better interpretability for process control, and KNN is effective for small-scale QA implementations. …”
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Categorizing Mental Stress: A Consistency-Focused Benchmarking of ML and DL Models for Multi-Label, Multi-Class Classification via Taxonomy-Driven NLP Techniques by Juswin Sajan John, Boppuru Rudra Prathap, Gyanesh Gupta, Jaivanth Melanaturu

“…This study introduces a novel approach to effectively characterize mental stress through a multi-label, multi-class classification framework through natural language processing techniques. Building on existing literature, discussions with psychologists and other mental health practitioners, we developed a taxonomy of 27 distinctive markers spread across 4 label categories; aiming to create a preliminary screening tool leveraging textual data.The core objective is to identify the most suitable model for this complex task, encompassing comprehensive evaluation of various machine learning and deep learning algorithms. we experimented with support vector machines (SVM), random forest (RF) and long short-term memory (LSTM) algorithms incorporating various feature combinations involving Term Frequency-Inverse Document Frequency (TF-IDF) and Latent Dirichlet Allocation (LDA). …”
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A Fuzzy Logic Framework for Text-Based Incident Prioritization: Mathematical Modeling and Case Study Evaluation by Arturo Peralta, José A. Olivas, Pedro Navarro-Illana

“…This paper proposes a fuzzy logic-based framework for incident categorization and prioritization, integrating natural language processing (NLP) with a formal system of fuzzy inference. …”
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Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…The improved depth separation convolution model proposed in this paper innovatively adopts the vector space form of adjacent hypervoxels in dealing with the edge position of subgrade defects and an accurate segmentation feature scheme. …”
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Supervised Machine Learning Thyroid Carcinoma Diagnosis Using Wide-Field SHG Microscopy by Yaraslau Padrez, Radu Hristu, Igor Timoshchenko, Lucian G. Eftimie, Danielis Rutkauskas, Lena Golubewa

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Advanced neural network-based model for predicting court decisions on child custody by Mohammad Abrar, Abdu Salam, Faizan Ullah, Muhammad Nadeem, Hussain AlSalman, Muaadh Mukred, Farhan Amin

“…It is evident from literature that Natural language processing (NLP) and machine learning (ML) are widely used in the prediction of court rulings. …”
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Research Framework and Anticipated Results of Key Technologies for Distributed Certificate-less Network Identity Systems by ZHANG Xiaosong, CAO Sheng, LU Tianbo, YANG Kun, GUI Xun, XIE Guotao, NIU Weina

“…In multi-level parallel smart contract virtual machines, a co-processing architecture was developed, overcoming challenges in vector instruction set design and memory management, which led to the implementation of a smart contract co-processor on domestic chips. …”
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Spatial dynamometering of working tools of agricultural implements by V. I. Myalenko, N. A. Marinov

“…A block diagram of the strain-measuring segments connection with the electronic media provides the definition of the main vector parameters and the principal moment of the external force loading of agricultural machines tools. …”
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UNVEILING FAKE NEWS DETECTION MODELS AND THEIR INTEGRATION INTO WEB SYSTEMS: AN EXTENSIVE INVESTIGATION by Vimal Gaur, Naman Veerwal, Ujjwal Chaudhary, Sparsh Kadian

“…Through meticulous preprocessing, including stemming and TF-IDF vectorization, the system optimizes textual data for analysis. …”
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Character-word level ensemble integrated model for power transformer defect recording text mining method by LI Yuan, LI Rui, LIN Jinshan, JIN Lingfeng, SHAO Xianjun, ZHANG Guanjun

“…By applying natural language processing technology to precise power equipment defect recoding text classification and efficient fault recognition, data resources are awakened, and the intelligent management level of power transformers is significantly improved.…”
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Imbalanced feature generation based on bootstrap power spectral curve for estimating respiratory rate by Soojeong Lee, Gyanendra Prasad Joshi, Gangseong Lee

“…However, machine learning algorithm-related errors are unsuitable for medical decision-making processes because some data have a much larger sample size in the training set than in other sets. …”
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A Cross-Spatial Differential Localization Network for Remote Sensing Change Captioning by Ruijie Wu, Hao Ye, Xiangying Liu, Zhenzhen Li, Chenhao Sun, Jiajia Wu

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DRKG: Faithful and Interpretable Multi-Hop Knowledge Graph Question Answering via LLM-Guided Reasoning Plans by Yan Chen, Shuai Sun, Xiaochun Hu

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Heterogeneous Hesitant Fuzzy Preference Relation and Its Application in Group Decision-making by FENG Xue, GENG Shengling

“…Firstly, the consistency of three hesitant preference relationships is defined, and three optimization models are established to obtain the weight vector of alternatives. Secondly, the process of building group consensus is established, and feedback mechanisms are used to provide decision-makers with adjustment directions. …”
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