Safeguards-related event detection in surveillance video using semi-supervised learning approach by Se-Hwan Park, Byung-Hee Won, Seong-Kyu Ahn

“…Our model is designed after a comprehensive analysis of the trends in artificial intelligence-based models to identify abnormal events in video. …”
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Improving Diabetic Patients Monitoring System Using (NCA-CNN) Algorithm based on loT by Ayas Talib Mohammad, Jaber Parchami

“… The Internet of Things (IoT) and Artificial Intelligence (AI), particularly Machine Learning (ML), have both seen significant advancements in recent years, which has resulted in significant leaps forward in the development of health monitoring systems. …”
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Trends and collaborations in case-based learning for online health education: a bibliometric analysis (2014-2024) by Agung Budiawan, Murti Kusuma Wirasti, Dwi Kusumawardani

“…In addition, integrating educational technologies such as digital simulation platforms and artificial intelligence (AI) has strengthened the adoption of CBL in online environments. …”
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Modified Particle Swarm Optimization on Feature Selection for Palm Leaf Disease Classification by Veri Julianto, Ahmad Rusadi Arrahimi, Oky Rahmanto, Mohammad Sofwat Aldi

“…This study explores the application of artificial intelligence, specifically computer vision and machine learning, for disease detection. …”
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Retraksi: Penerapan Data Mining Menggunakan Algoritma Apriori untuk Menentukan Pola Penyebab Gelandangan dan Pengemis by Wirta Agustin, Yulya Muharmi

“…Alasan pembatalan penerbitan adalah artikel tersebut juga telah terbit di Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) pada Volume 1 No. 2, September 2018 dengan judul "Apriori Algorithm through RapidMiner for Age Patterns of Homeless and Beggars" dan link http://ejournal.uin-suska.ac.id/index.php/IJAIDM/article/view/5670. …”
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Bibliometric analysis on current ergonomic trends in the international labor context by Jade Padrón-Sardiña, Isabela Pancorbo-Camacho, Juan Lázaro Acosta-Prieto, Yilena Cuello-Cuello

“…It is concluded that the emerging trends in Ergonomics reveal the current interest in bringing automation, artificial intelligence and new technologies to all areas of the human life. …”
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Slot Parameter Optimization for Multiband Antenna Performance Improvement Using Intelligent Systems by Erdem Demircioglu, Ahmet Fazil Yagli, Senol Gulgonul, Haydar Ankishan, Emre Oner Tartan, Murat H. Sazli, Taha Imeci

“…Measurement results are utilized for training the artificial intelligence models. The ANN provides 98% model accuracy for rectangular slots and 97% for square slots; however, ANFIS offer 90% accuracy with lack of resonance frequency tracking.…”
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A Novel Method to Forecast Nitrate Concentration Levels in Irrigation Areas for Sustainable Agriculture by Halil Karahan, Müge Erkan Can

“…The proposed model, although based on an artificial neural network (ANN), also has the potential to be adapted for methods used in machine learning and artificial intelligence, such as Support Vector Machines, Decision Trees, Random Forests, and Ensemble Learning Methods.…”
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ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSIS by D. A. Pervukhin, Lisha Tang

“… In particular, this work explores the effectiveness of capacity layout optimisation on workflows and organizational performance for coal enterprises through reliance on advanced technologies such as GIS, Lean Six Sigma, Artificial Intelligence (AI), and Big Data, filling in those gaps in prior studies by using software from AnyLogic to develop computational models and conduct simulations. …”
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Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application by Zaher Mundher Yaseen, Hossam Faris, Nadhir Al-Ansari

“…The river flow forecast accuracy of SSA-ELM outperformed the classical ELM and other artificial intelligence (AI) models. Over the testing phase, the proposed SSA-ELM model yielded a satisfactory enhancement in the level accuracies (8.4 and 13.1 percentage of augmentation for RMSE and MAE, respectively) against the classical ELM model. …”
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Application of Reinforcement Learning in Cognitive Radio Networks: Models and Algorithms by Kok-Lim Alvin Yau, Geong-Sen Poh, Su Fong Chien, Hasan A. A. Al-Rawi

“…Reinforcement learning (RL), which is an artificial intelligence approach, has been applied to enable each unlicensed user to observe and carry out optimal actions for performance enhancement in a wide range of schemes in CR, such as dynamic channel selection and channel sensing. …”
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Leveraging multiplexed metasurfaces for multi-task learning with all-optical diffractive processors by Behroozinia Sahar, Gu Qing

“…However, most existing DNN architectures are optimized for single tasks and thus lack the flexibility required for the simultaneous execution of multiple tasks within a unified artificial intelligence platform. In this work, we utilize the polarization and wavelength degrees of freedom of light to achieve optical multi-task identification using the MNIST, FMNIST, and KMNIST datasets. …”
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Knowledge Graph Analysis of Digital Emergency Management Research Based on CiteSpace Visualisation: Comparative Analysis of WOS and CNKI Databases by Rui Nan, Wenjun Zhu, Yejing Xiao

“…The former are information technology, artificial intelligence, and machine learning, whereas the latter are emergency decision making, scenario analysis, and public health.…”
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Advancements in Vision–Language Models for Remote Sensing: Datasets, Capabilities, and Enhancement Techniques by Lijie Tao, Haokui Zhang, Haizhao Jing, Yu Liu, Dawei Yan, Guoting Wei, Xizhe Xue

“…Recently, the remarkable success of ChatGPT has sparked a renewed wave of interest in artificial intelligence (AI), and the advancements in Vision–Language Models (VLMs) have pushed this enthusiasm to new heights. …”
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Inducing and Assessing Acute Mental Stress in Controlled Conditions: Topical Review and Guidelines for Effective Experimental Protocols by Matteo Raggi, Lee J. Moore, Luca Mesin

“…Extensive research has been carried out to develop non-invasive devices for stress detection, which primarily use physiological data and, more recently, artificial intelligence algorithms. When developing either a new device or algorithm, tests in controlled environments are preferred, because of the supervision of possible confounding factors while running the experiments. …”
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Intellectual Structure of Global Value Chain Research: Visualization and Bibliometric Analysis Based on VOSviewer by Jianhua Dai, Shuanglei Xu

“…The complex impact of the natural environment and public health on the global value chain, and the impact of big data and artificial intelligence on the global value chain, has become a new direction for future research. …”
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Motor Bearing Failure Identification Using Multiple Long Short-Term Memory Training Strategies by Youcef ATMANI, Ammar Mesloub, Said Rechak

“…In the context of condition-based maintenance of rotating machines in manufacturing systems, the early diagnosis of possible faults related to rolling elements of the bearing is mainly based on techniques from artificial intelligence, namely, Machine Learning (ML) and Deep Learning (DL). …”
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A Novel User Classification Method for Femtocell Network by Using Affinity Propagation Algorithm and Artificial Neural Network by Afaz Uddin Ahmed, Mohammad Tariqul Islam, Mahamod Ismail, Salehin Kibria, Haslina Arshad

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WORKING PRINCIPLE AND PERFORMANCE EVOLUTION OF CAMERA-BASED INTELLIGENT SIGNALIZED INTERSECTIONS: SAMSUN CITY, TÜRKIYE EXAMPLE by Metin Mutlu AYDIN, Dimitris POTOGLOU, Liana CIPCIGAN

“…After the signal cycle was regulated with the learning of artificial intelligence, it was seen that the drivers had more patience and more observant behaviors. …”
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CAREA: Cotraining Attribute and Relation Embeddings for Cross-Lingual Entity Alignment in Knowledge Graphs by Baiyang Chen, Xiaoliang Chen, Peng Lu, Yajun Du

“…Knowledge graphs (KGs) are one of the most widely used techniques of knowledge organizations and have been extensively used in many application fields related to artificial intelligence, for example, web search and recommendations. …”
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