A Multi-Agent Approach to Modeling Task-Oriented Dialog Policy Learning by Songfeng Liang, Kai Xu, Zhurong Dong

“…Furthermore, we conduct a theoretical analysis of the convergence properties of the proposed model. Experiments were conducted on two distinct task-oriented dialogue datasets, revealing that the proposed multi-agent model exhibits a significantly faster learning speed and a higher dialogue success rate compared to baseline approaches.…”
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Accelerated Convergence Method for Flow Field Based on DMD-POD Combined Reduced-Order Optimization Model by Jianhui Li, Jun Huang, Yahui Sun, Guoqiang Li

“…The results show that for linear equations, the proposed method achieves a significant acceleration, with a convergence speed five times faster than traditional numerical methods. …”
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Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection by Rong Pang, Yan Yang, Aiguo Huang, Yan Liu, Peng Zhang, Guangwu Tang

“…Although the Faster Region-based Convolutional Neural Network (Faster R-CNN) model has obvious advantages in defect recognition, it still cannot overcome challenging problems, such as time-consuming, small targets, irregular shapes, and strong noise interference in bridge defect detection. …”
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Robot Simulation on Agri-Field Point Cloud With Centimeter Resolution by Shintaro Noda, Masayuki Kogoshi, Wataru Iijima

“…The need for robotic agricultural automation has been driven by global population growth and climate change.To efficiently evaluate and develop agricultural robots not limited to the growing season, we developed a dynamics simulator that works fast on 3D point-cloud models of agricultural fields.The point-cloud models have been widely used in recent agricultural research thanks to advances in aerial photography technology. …”
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Accelerating Multilingual Cryptocurrency Forensics: An NLP-Driven Approach for Efficient Mnemonic Identification by Hsin-Hsiung Kao

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Vehicle-to-Vehicle Communication Channel Estimator Based on Gate Recurrent Unit by Jun-Han Wang, He He, Kosuke Tamura, Shun Kojima, Jaesang Cha, Chang-Jun Ahn

“…On the other hand, the frame structure of the IEEE 802.11p standard contains a few number of pilots and a large pilot interval, which is not sufficient to track the rapidly changing channel environment accurately. …”
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Memory State Dynamics in BEOL FeFETs: Impact of Area Ratio on Analog Write Mechanisms and Charging by Hannes Dahlberg, Oscar Kaatranen, Karl-Magnus Persson, Arto Rantala, Jacek Flak, Lars-Erik Wernersson

“…FE capacitors are non-destructively integrated in the Back-End-of-Line (BEOL) with Si MOSFETs to create FE-Metal-FETs (FeMFETs). …”
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Differential Evolution-Based End-Fire Realized Gain Optimization of Active and Parasitic Arrays by Rozita Konstantinou, Ihsan Kanbaz, Okan Yurduseven, Michail Matthaiou

“…The optimization process first maximizes the end-fire gain in the active array by selecting the optimal current excitation vector. …”
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Optimizing Security in IoT Ecosystems Using Hybrid Artificial Intelligence and Blockchain Models: A Scalable and Efficient Approach for Threat Detection by William Villegas-Ch, Jaime Govea, Rommel Gutierrez, Aracely Mera-Navarrete

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Optimized Prediction of Weapon Effectiveness in BVR Air Combat Scenarios Using Enhanced Regression Models by Andre R. Kuroswiski, Annie S. Wu, Angelo Passaro

“…This study investigates high-performance models for predicting the Weapon Engagement Zone (WEZ) in beyond-visual-range (BVR) air combat scenarios. …”
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Swarm-Based Trajectory Generation and Optimization for Stress-Aligned 3D Printing by Xavier Guidetti, Efe C. Balta, and John Lygeros

“…Our results demonstrate a remarkable improvement in computational efficiency, achieving a <inline-formula> <tex-math notation="LaTeX">$115\times $ </tex-math></inline-formula> faster computation speed than existing methods. This efficiency, combined with the possibility to tune the trajectory spacing to match the deposition process constraints, makes the potential integration of our approach into existing 3D printing processes seamless. …”
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A Deep Q-Learning Algorithm With Guaranteed Convergence for Distributed and Uncoordinated Operation of Cognitive Radios by Ankita Tondwalkar, Andres Kwasinski

“…Importantly, further simulations show that the presented UDMA-DQL approach achieves a much faster learning performance compared to an equivalent table-based Q-learning implementation.…”
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Microgrid Islanding Detection Using D-PMU and Phase Angle Analysis of Negative Sequence Impedance by Asim Chaulagain, Ramakrishna Gokaraju, Nurul Chowdhury, Krish Narendra

“…The suggested detection technique can effectively distinguish non-islanding events while achieving islanding detection in under 50 ms, significantly faster than current passive techniques.…”
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GuardianMPC: Backdoor-Resilient Neural Network Computation by Mohammad Hashemi, Domenic Forte, Fatemeh Ganji

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Neuromorphic Vision Data Coding: Classifying and Reviewing the Literature by Catarina Brites, Joao Ascenso

“…This new way of visual information acquisition enables faster and asynchronous per-pixel responses/recordings driven by the scene dynamics with a very high dynamic range and low power consumption. …”
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Controlled Non-Dominated Sorting Genetic Algorithms for Multi-Objective Optimal Design of Standalone and Grid-Connected Renewable Energy Systems in Integrated Energy Sectors by Hamza El Hafdaoui, Ahmed Khallaayoun, Salah Al-Majeed

“…Non-dominated sorting genetic algorithms are recognized for their robustness and flexibility in optimizing renewable energy systems, surpassing traditional methods by handling multiple objectives and generating diverse Pareto-optimal solutions. …”
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Continuum and Soft Robots in Minimally Invasive Surgery: A Systematic Review by Fahad Iqbal, Mojtaba Esfandiari, Golchehr Amirkhani, Hamidreza Hoshyarmanesh, Sanju Lama, Mahdi Tavakoli, Garnette R. Sutherland

“…Faster recovery, reduced trauma, and improved patient outcomes drive innovations in minimally invasive surgery (MIS). …”
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Advanced Text Summarization Model Incorporating NLP Techniques and Feature-Based Scoring by Estabraq Abdulreda Kadhim, Mohammad-Reza Feizi-Derakhshi, Hadi S. Aghdasi

“…Moreover, although it is more computationally complex, it efficiently combines higher quality with faster summarization. Specifically, a method relies on a weighted feature score scheme. …”
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Analysis of ChatGPT-Generated Codes Across Multiple Programming Languages by Sally Almanasra, Khaled Suwais

“…AI-generated code promises to boost productivity by enabling faster prototyping and automating repetitive coding tasks. …”
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Papillary Thyroid Carcinoma Semantic Segmentation Using Multi-Scale Adaptive Convolutional Network With Dual Decoders by Thanat Payatsuporn, Pittipol Kantavat, Nichthida Tangnuntachai, Nopporn Tipparawong, Waratchanok Techapapa, Boonserm Kijsirikul, Somboon Keelawat

“…However, the existing diagnosis method is difficult to interpret, especially for the cases falling in the borderline zones. According to the advances in artificial intelligence (AI) technology, semantic segmentation is used to support medical personnel. …”
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