Neuro-fuzzy inference system and white shark optimization of coagulation-flocculation of aquaculture wastewater treatment by A.F. Mohamed, H. Rezk

“…In compared to analysis of variance adaptive neuro-fuzzy inference system lowered the root mean square error from 2.8 to 0.836 (a 70 percent decrease). …”
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Machine learning analysis of pharmaceutical cocrystals solubility parameters in enhancing the drug properties for advanced pharmaceutical manufacturing by Tareq Nafea Alharby, Bader Huwaimel

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A transformer-based framework for enterprise sales forecasting by Yupeng Sun, Tian Li

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Engineering Oilseed Microbiome Synergy for Saline Alkaline Soil Restoration by Shijie Ma, Tong Tang, Chang Du, Zheng Yang, Binjie Gan

“…These crops exhibit unique adaptive strategies, including root architectural plasticity and exudate-mediated recruitment of stress-resilient microbiomes (Proteobacteria, Actinobacteria, and Ascomycota), which collectively stabilize soil structure and enhance nutrient cycling, ion homeostasis, and soil aggregation to mitigate soil salinity and alkalinity. …”
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Integration of epigenomic and genomic data to predict residual feed intake and the feed conversion ratio in dairy sheep via machine learning algorithms by Pablo Augusto de Souza Fonseca, Aroa Suarez-Vega, Cristina Esteban-Blanco, Héctor Marina, Rocío Pelayo, Beatriz Gutiérrez-Gil, Juan-José Arranz

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METAVERSE IN EDUCATION – TEACHERS’ PERSPECTIVES ON BENEFITS AND CHALLENGES by Sofija Matović, Tamara Marković, Nikoleta Dobrosavljević, Miljana Stajin

“…Teachers' resistance to new teaching models is partly rooted in insufficient training for artificial intelligence-based concepts applications in education. …”
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Improving nerve and muscle function: an exploration of targeted nerve function replacement following differential delay periods in a rat model by Chunxiao Tang, Yuanheng Li, Xinxian Fan, Jiamei Guo, Yifeng Lin, Yifan Gao, Lin Yang

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A Shortest Distance Priority UAV Path Planning Algorithm for Precision Agriculture by Guoqing Zhang, Jiandong Liu, Wei Luo, Yongxiang Zhao, Ruiyin Tang, Keyu Mei, Penggang Wang

“…Therefore, drones equipped with this algorithm are expected to make outstanding contributions to the development of precision agriculture through intelligent navigation and obstacle avoidance.…”
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A hybrid long short-term memory with generalized additive model and post-hoc explainable artificial intelligence with causal inference for air pollutants prediction in Kimberley, S... by Israel Edem Agbehadji, Ibidun Christiana Obagbuwa

“…The model was evaluated with the mean squared error (MSE), root mean squared error (RMSE) and mean absolute error (MAE) for different time-steps. …”
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Integration of Explainable Artificial Intelligence into Hybrid Long Short-Term Memory and Adaptive Kalman Filter for Sulfur Dioxide (SO₂) Prediction in Kimberley, South... by Israel Edem Agbehadji, Ibidun Christiana Obagbuwa

“…Recent advancements in artificial intelligence (AI), particularly explainable AI, offer transparency and trust in the deep learning models. …”
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A Novel Six-Dimensional Chimp Optimization Algorithm—Deep Reinforcement Learning-Based Optimization Scheme for Reconfigurable Intelligent Surface-Assisted Energy Harvesting in Batt... by Mehrdad Shoeibi, Anita Ershadi Oskouei, Masoud Kaveh

“…To address these limitations, reconfigurable intelligent surfaces (RISs) offer a promising solution by dynamically manipulating the wireless propagation environment to enhance signal strength and improve energy harvesting capabilities. …”
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IoT and machine learning models for multivariate very short‐term time series solar power forecasting by Su Kyi, Attaphongse Taparugssanagorn

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Comparative Modeling and Prediction of the Mechanical Strength of Chemically Modified Bamboo Fibers Using Artificial Neural Networks and Response Surface Methodology by Mamookho Elizabeth Makhatha, Patrick Ehi Imoisili, Sebetlela Letlhabula, Tien-Chien Jen

“…Artificial neural networks (ANN) in artificial intelligence (AI) have been utilized to solve an array of engineering challenges. …”
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Groundwater level prediction using an improved SVR model integrated with hybrid particle swarm optimization and firefly algorithm by Sandeep Samantaray, Abinash Sahoo, Falguni Baliarsingh

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From Reactive to Proactive: Advances Leading the Paradigm Shift in Cholecystitis Management by Tamer A. Addissouky

“…Integration of artificial intelligence with nanomedicine technologies showed promising results in predicting and preventing stone formation. …”
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Prediction of Aluminum Alloy Surface Roughness Through Nanosecond Pulse Laser Assisted by Continuous Laser Paint Removal by Jingyi Li, Rongfan Liang, Han Li, Junjie Liu, Jingdong Sun

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Retrospective Clinical Trial to Evaluate the Effectiveness of a New Tanner–Whitehouse-Based Bone Age Assessment Algorithm Trained with a Deep Neural Network System by Meesun Lee, Young-Hun Choi, Seul-Bi Lee, Jae-Won Choi, Seunghyun Lee, Jae-Yeon Hwang, Jung-Eun Cheon, SungHyuk Hong, Jeonghoon Kim, Yeon-Jin Cho

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Prediction of Soil Carbon Sequestration in Rangelands Regarding the Depth and Elevation of Sample Locations using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case Study: Lar Wat... by zeinab jafarian, zhila ghorbani

“…Novel prediction methods, including artificial intelligence, are of high interest in this field. The present research aims to study the ability of the adaptive neuro-fuzzy inference system (ANFIS) to predict the carbon sequestration (CS) of rangeland soil. …”
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Mais qui est donc le monstre ? À propos d’agentivité et de responsabilité dans la relation entre l’humain et la machine by Barbara Hof

“…Drawing on Polanyi’s paradox, I argue that the monstrosity of artificial intelligence (AI) is not rooted in machines but is instead primarily conjured by the imagination and interests of humans. …”
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