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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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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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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An enhanced rainfall-induced landslide catalogue in Italy by Maria Teresa Brunetti, Stefano Luigi Gariano, Massimo Melillo, Mauro Rossi, Silvia Peruccacci

“…Abstract With the increasing use of data-driven landslide prediction models also based on artificial intelligence, the availability of accurate information on the occurrence of landslides and the rigorous reconstruction of their triggering rainfall conditions are crucial. …”
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RETRACTED: Robot Path Planning Method Based on Indoor Spacetime Grid Model by Huangchuang Zhang, Qingjun Zhuang, Ge Li

“…In the context of digital twins, smart city construction and artificial intelligence technology are developing rapidly, and more and more mobile robots are performing tasks in complex and time-varying indoor environments, making, at present, the unification of modeling, dynamic expression, visualization of operation, and wide application between robots and indoor environments a pressing problem to be solved. …”
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Spiking Neural P Systems with Polarizations and Rules on Synapses by Suxia Jiang, Jihui Fan, Yijun Liu, Yanfeng Wang, Fei Xu

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Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure Maintenance by Samira Mohammadi, Sasan Sattarpanah Karganroudi, Vahid Rahmanian

“…It proposes future research directions, including real-time monitoring and the integration of Artificial Intelligence (AI) with Internet of Things (IoT) devices for comprehensive inspections.…”
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Outcome Prediction in Infectious Disease by Khie Chen Lie, Yosia Yonggara, Adeline Pasaribu, Sharifah Shakinah, Leonard Nainggolan

“…Current research explores a range of prognostic tools, from traditional scoring systems and biomarkers to cutting-edge omics technologies and artificial intelligence. These tools can differ significantly across patient populations and clinical settings, such as the emergency department (ED) and intensive care unit (ICU). …”
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Performance Evaluation of Two ANFIS Models for Predicting Water Quality Index of River Satluj (India) by Sharad Tiwari, Richa Babbar, Gagandeep Kaur

“…Water quality index is the most convenient way of communicating water quality status of water bodies, but its evaluation requires subjectivity in terms of user involvement and dealing with uncertainty. Recently, artificial intelligence algorithms that are appropriate for nonlinear forecasting and also dealing with uncertainties have been applied to various domains of water quality forecasting. …”
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Hierarchical Aggregation for Federated Learning in Heterogeneous IoT Scenarios: Enhancing Privacy and Communication Efficiency by Chen Qiu, Ziang Wu, Haoda Wang, Qinglin Yang, Yu Wang, Chunhua Su

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Leveraging Large Language Models for Enhanced Classification and Analysis: Fire Incidents Case Study by Eman H. Alkhammash

“…Fire detection and classification using artificial intelligence (AI) methods have drawn significant attention in the literature. …”
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