From evaluation to innovation: Strengthening geospatial agricultural monitoring information system in Indonesia by Rizatus Shofiyati, Agnes Sondita Payani, Kustiyo Kustiyo, Muhammad Rokhis Khomarudin, Dede Dirgahayu, Fadhlullah Ramadhani, Muhammad Sulaiman Nur Ubay, Laju Gandharum, Heri Sadmono

“…Also recommended are policy moves designed to clear up ownership and governance issues. …”
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Advanced image preprocessing and context-aware spatial decomposition for enhanced breast cancer segmentation by G. Kalpana, N. Deepa, D. Dhinakaran

“…The segmentation of breast cancer diagnosis and medical imaging contains issues such as noise, variation in contrast, and low resolutions which make it challenging to distinguish malignant sites. …”
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Predicting Suicide or Self-Harm Crises Based on Decision Tree Analysis of Life Events and Coping Style: A Population-Based Study in China by Shumeng Ma, Ping Li, Liwen Ren, Ning Jia

“…Suicide and self-harm crises among high school students are significant public health issues. Previous research has often focused on individual factors in suicide and self-harm crises, neglecting the complex interactions between multiple factors. …”
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Contactless Fatigue Level Diagnosis System Through Multimodal Sensor Data by Younggun Lee, Yongkyun Lee, Sungho Kim, Sitae Kim, Seunghoon Yoo

“…The system integrates non-contact biometric data collection with an AI-driven classification model capable of diagnosing fatigue levels on a 1 to 5 scale with an average accuracy of 89%. …”
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Histopathological and immunohistochemical investigation of mammary tumors in female cats in Northeast Algeria by Zahra Gabli, Zouhir Djerrou, Leila Beddar

“…These findings contribute novel insights to FMT classification and are valuable for prognostic studies.…”
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Detecting Software Anomalies in Robots by Means of One-class Classifiers by Héctor Quintián, Esteban Jove, Francisco Zayas-Gato, Nuño Basurto, Carlos Cambra, Álvaro Herrero

“…The growing dependence on collaborative robots in essential industrial and service sectors raises urgent concerns regarding their reliability and ability to handle faults. Undetected software issues can degrade performance, jeopardize safety, and result in expensive downtimes. …”
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Bridging policy and practice: The implementation of inventory accounting standards in Indonesian local governments by Soffan Marsus, Raynal Yasni, Muliani Sulya Fajarianti, Agung Arianto, Joko Sustiyo

“…The findings reveal persistent difficulties in integrating financial and inventory systems, notably due to discrepancies in classification codes, incomplete asset handover documentation, and fragmented regulatory frameworks. …”
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THE RESEARCH ACTIVITY OF THE UNIVERSITY TEACHERS: DIRECTIONS, RESULTS, AND PROSPECTS. SOCIOLOGICAL CONTENT by I. A. Vasilyev

“…This approach can be used while studying the issues of pragmatic use of the main directions of research activity results in higher education in various fields. …”
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Persian SMS Spam Detection using Machine Learning and Deep Learning Techniques by Roya Khorashadizade, Somayyeh Jafarali Jassbi, Alireza Yari

“…This work sought to develop an effective strategy for identifying SMS spam through utilizing combining machine learning classification algorithms together with deep learning models. …”
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HSTCN-NuSVC: A Homogeneous Stacked Deep Ensemble Learner for Classifying Human Actions Using Smartphones by Sarmela Raja Sekaran, Ying Han Pang, Ooi Shih Yin, Lim Zheng You

“…This work aims to overcome the issues by proposing a lightweight, homogenous stacked deep ensemble model, termed Homogenous Stacking Temporal Convolutional Network with Nu-Support Vector Classifier (HSTCN-NuSVC), for activity classification. …”
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A Novel Improved Binary Optimization Algorithm and Its Application in FS Problems by Boyuan Wu, Jia Luo

“…However, in the realm of big data technology, the high feature dimensions of the data frequently give rise to overfitting issues during training, thereby diminishing model accuracy. …”
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Causation Analysis of Marine Traffic Accidents Using Deep Learning Approaches: A Case Study from China’s Coasts by Zelin Zhao, Xingyu Liu, Lin Feng, Manel Grifoll, Hongxiang Feng

“…Compared with traditional single-factor analysis methods, the proposed framework shows marked improvements in Natural Language Processing (NLP) efficiency, classification precision, and systematic interpretation of cross-factor correlations. …”
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Ground Segmentation Algorithm for Sloped Terrain and Sparse LiDAR Point Cloud by Victor Jimenez, Jorge Godoy, Antonio Artunedo, Jorge Villagra

“…Some works address these issues using Markov Random Fields and Belief Propagation, but these rely on local geometric features uniquely. …”
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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

“…Fast data analysis based on hidden patterns is one of the main issues for adaptive artificial intelligence systems development. …”
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Predicting fertilizer treating of maize using digital image processing and deep learning approaches by Eshete Derb Emiru, Kassie Bishaw

“…An automated approach to identify and categorize fertility problems in maize plants is desperately needed to address this issue. The goal of this study is to develop a model for the recognition and classification of fertilizer treatment for maize based on maize leaf images, using deep learning algorithms to facilitate and improve the recognition and early control of fertilizer treatment for maize. …”
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Editor’s Note by Alberto Raposo

“…Qualis is the journal classification index of CAPES (Brazilian governmental agency for improvement of higher education personnel), and the classification refers to the period of 2013-2016. …”
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Accounting of expenses for excavation work in the extraction of minerals: normative regulation by N.G., T.P., L.V.

“…It was established that IFRS 6 «Exploration and evaluation of mineral reserves» regulates the following issues regarding the accounting of expenses for exploration and evaluation of mineral reserves: initial evaluation of exploration and evaluation assets at cost; valuation after recognition of exploration assets and valuation under the cost or revaluation model; changes in accounting policies, if such a change makes financial reporting more relevant and no less reliable; classification and reclassification of exploration and evaluation assets into tangible and intangible assets; assessment of impairment of exploration assets, when facts and circumstances suggest that the book value of an exploration and evaluation asset may exceed the amount of its expected recovery; disclosure of amounts recognized in its financial statements as a result of exploration and evaluation of mineral reserves. …”
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Mixed Gas Detection and Temperature Compensation Based on Photoacoustic Spectroscopy by Sun Chao, Hu Runze, Liu Niansong, Ding Jianjun

“…In response to address issues such as difficulties in judging data for classification and recognizing gas components with low accuracy, a KNN-SVM algorithm has been proposed. …”
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Evaluation method for gas pre-extraction status in coal seam boreholes based on semi-supervised learning by YAN Li, WEN Hu, WANG Zhenping, JIN Yongfei

“…Unsupervised learning models lack sample labeling, making qualitative evaluation infeasible. To address these issues, an evaluation method based on semi-supervised learning was proposed for the gas pre-extraction status evaluation of coal seam boreholes. …”
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Proactive Complaint Management in Public Sector Informatics Using AI: A Semantic Pattern Recognition Framework by Marco Esperança, Diogo Freitas, Pedro V. Paixão, Tomás A. Marcos, Rafael A. Martins, João C. Ferreira

“…Conventional keyword-based approaches are inadequate for detecting semantically similar issues expressed in diverse ways. This study proposes an AI-powered framework that employs BERT-based sentence embeddings, semantic clustering, and classification algorithms, structured under the CRISP-DM methodology, to standardize and automate complaint analysis. …”
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