The temporal structure of multiple visuomotor processes in baseball batting: insights from a virtual reality system by Naoki Saijo, Takehiro Fukuda, Makio Kashino

“…The key components of these computations include the sense of timing, swing decision-making, and swing adjustment. Although each of these components has been studied independently, few studies have addressed their temporal integration. …”
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Enhancing HEVC Efficiency: A Novel Approach to Intra-Mode Estimation Through Hadamard Cost Analysis by Junaid Tariq, Imran Javed, Touseef Sadiq, Hameedur Rahman, Ashfaq Hussain Farooqi, Amir Ijaz

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EVALUATING THE EFFECTIVENESS OF NEGOTIATED PLANNING TOOLS: THE CASE OF THE LOMBARDY REGION by Marta Dell’Ovo, Marco Rossitti, Francesca Torrieri, Giulia Datola, Danny Casprini, Alessandra Oppio

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Research Status and Prospects of Key Technologies for Rice Smart Unmanned Farms by YU Fenghua, XU Tongyu, GUO Zhonghui, BAI Juchi, XIANG Shuang, GUO Sien, JIN Zhongyu, LI Shilong, WANG Shikuan, LIU Meihan, HUI Yinxuan

“…Leveraging advanced information technologies such as the Internet of Things (IoT) and artificial intelligence (AI), these farms enable deep integration of data-driven decision making and intelligent machines. This integration creates an unmanned production system that covers the entire process from planting and managing rice crops to harvesting, greatly improving the efficiency and precision of rice cultivation.…”
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The breast cancer genetic testing experience: probing the potential utility of an online decision aid in risk perception and decision making by Anna Vaynrub, Brian Salazar, Yilin Eileen Feng, Harry West, Alissa Michel, Subiksha Umakanth, Katherine D. Crew, Rita Kukafka

“…We also sought to identify areas for improvement in RealRisks that would expand its focus from improved GT decision-making to understanding results. …”
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A model for making investment decisions contributing to the heating supply companies’ development, taking into account the restrictions arising in the applying tariffs conditions w... by T. B. Malkova, N. G. Verstina, M. V. Gamm

“…The weight of the criteria obtained as a result of the analysis is further used in the decision-making model. The simplex method was used as the basis for the implementation of the author’s model of investment decision-making. …”
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What role can the Internet play in the development of democracy in Africa? by George Nyabuga

“…It examines what role it can play in revitalising the public sphere and how it can influence political decisions in the continent. However, I argue that even though the Internet has had profound effects on people’s lives, contributing significantly to communication and information sharing, its real potential is yet to be realised in Africa. …”
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Delay-sensitive traffic intellisense scheduling based on optimal decision tree by Xuerong WANG, Zhengzhi TANG, Yinchuan LI, Meiyu QI, Jianbo ZHU, Liang ZHANG

“…Currently, network traffic scheduling strategy cannot be intelligent and on-demand, especially in the congestion caused by sudden network failures and escort scenarios of high-value services.They cannot guarantee latency-sensitive service experience on demand.The delay-sensitive attribute requirements of different network traffic were analyzed and studied, and the internal correlation between the behavior characteristics of varying network traffic and its delay sensitivity requirements was explored.Then, AI technology was used to learn this inherent relationship and construct its mapping relationship, realizing a traffic scheduling technical solution based on the intelligent awareness of delay-sensitive traffic.At the same time, considering the practical issues of interpretability and deploy-ability of AI models, reinforcement learning (RL) technology was used to prune and optimize the interpretable decision tree model, which improved the robustness of the model and made model lighter and easier to implement in equipment deployment.Through experiments by the collected real network traffic, the decision tree model optimized by reinforcement learning could improve the awareness accuracy by 1.75% in a single inference case, and the inference performance was improved by about 30%.The experiment also proved that using micro-statistical features for multiple inferences could help improve the model accuracy; in all experiments, the scale of the decision tree model optimized by RL was reduced by about 60.0%～87.2%, and the Saras had better optimization performance than Q-learning.…”
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Optimizing Solar Radiation Prediction Based on The Internet of Things Platform in Photovoltaic Power Plant by Neda Ashrafi Khozani, Maryam Mahmoudi, Shabnam Nasr Esfahani

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Selection of green supplier by multi-moora combination method and two-stage clustering by Mahsa Niavand, Mohammad Amin Adibi, Adel Pourghader Chobar

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An approach based on double-frontier DEA for determining priorities and obtaining weights in AHP by Hossein Azizi

“…Some numerical examples, including a real application of AHP for selecting an innovation team for a university, are provided to specify the advantages of the proposed approach and its potential applications.Originality/Value: The double-frontier DEA approach generates true weights for fully consistent pairwise comparison matrices and best local priorities for inconsistent pairwise comparison matrices, that are logical and fit subjective judgments of decision-makers.…”
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Enhancing Autonomous Driving in Urban Scenarios: A Hybrid Approach with Reinforcement Learning and Classical Control by Rodrigo Gutiérrez-Moreno, Rafael Barea, Elena López-Guillén, Felipe Arango, Fabio Sánchez-García, Luis M. Bergasa

“…Nevertheless, most of the solutions proposed by the scientific community encounter difficulties in real-world applications. This paper aims to provide a realistic implementation of a hybrid Decision Making module in an Autonomous Driving stack, integrating the learning capabilities from the experience of Deep Reinforcement Learning algorithms and the reliability of classical methodologies. …”
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An automatic pipeline for temporal monitoring of radiotherapy-induced toxicities in head and neck cancer patients by Parsa Bagherzadeh, Khalil Sultanem, Gerald Batist, Shirin Abbasinejad Enger

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A Hybrid Model for Psoriasis Subtype Classification: Integrating Multi Transfer Learning and Hard Voting Ensemble Models by İsmail Anıl Avcı, Merve Zirekgür, Barış Karakaya, Betül Demir

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Selección de proveedores de insumos críticos en términos de sostenibilidad, a través de la metodología multicriterio, en una empresa del sector azucarero by Hugo Ferney Ocampo-Murillo, Martha Lucía Quintero-Garzón

“…Finalmente, se tomó la decisión más acorde a los requerimientos reales de la organización, los cuales consideraban como criterio principal la sostenibilidad, para alcanzar la competitividad y el desarrollo sostenible. …”
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Decentralized and Asymmetric Multi-Agent Learning in Construction Sites by Yakov Miron, Dan Navon, Yuval Goldfracht, Dotan Di Castro, Itzik Klein

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Enhancing prehospital decision-making: exploring user needs and design considerations for clinical decision support systems by Enze Bai, Zhan Zhang, Yincao Xu, Xiao Luo, Kathleen Adelgais

“…Key considerations for successful CDSS adoption included balancing the frequency and urgency of alerts to reduce alarm fatigue and workflow disruptions, facilitating real-time data collection and documentation to enable decision generation, and ensuring trust and accountability while preventing over-reliance when using CDSS. …”
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The Influence of Network Position on Executives’ Preference for Imitation over Innovation: A Scenario-Based Experimental Approach by Guojian Zhang, Francis Boadu, Yu Xie

“…The scenario-based experimental method enhances the precision of the findings and provides actionable implications for real-world decision-making in venture development.…”
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Simulation of IoT Smart Home Network with Decision Making Based on MajorDoMo Platform by U. A. Vishniakou, ChuYue Yu

“…The purpose of the article is to model a smart home with decision-making and the use of the MajorDoMo IoT platform instead of a cloud platform. …”
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Artificial Intelligence in Engineering Education by B. A. Levin, A. A. Piskunov, V. Yu. Poliakov, A. V. Savin

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