Comparative performance evaluation of economic load dispatch using metaheuristic techniques: A practical case study for Bangladesh by Sumaiya Janefar, Prangon Chowdhury, Rahbaar Yeassin, Mahmudul Hasan, Nahid-Ur-Rahman Chowdhury

“…PSO emerges as the most effective algorithm for minimizing costs and losses, while HS is suitable for time-sensitive applications. …”
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Advanced Adaptive Rule-Based Energy Management for Hybrid Energy Storage Systems (HESSs) to Enhance the Driving Range of Electric Vehicles by Chew Kuew Wai, Taha Sadeq, Lee Cheun Hau

“…This study proposes a new energy management strategy for the HESS, an advanced adaptive rule-based algorithm. The results of the standard rule-based and adaptive rule-based algorithms are used to verify the proposed control algorithm. …”
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Redirected walking method considering the interaction between users by Sho Ri, Keigo Matsumoto, Takuji Narumi, Hideaki Kuzuoka

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Control System Strategy for Ring Thrower Robot Based on PID-CSA for ABU Robocon 2023 by Aris Budiyarto, Ridwan Ridwan, Rizky Andhika Akbar

“…Thrower Robot need to maintain system stability in carrying out their tasks, which require accuracy and stability while throwing the ring in different zones and have different distances and height, so the thrower robot needs to maintain the stability of the system in order to reach target properly. …”
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Modular Coordination of Vehicle Routing and Bin Packing Problems in Last Mile Logistics by Nikica Perić, Anđelko Kolak, Vinko Lešić

“…Such a coordinated approach is applied to a frequently used public benchmark and proven to provide commensurate costs while significantly lowering algorithm complexity. …”
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Research on Dynamic Planning Method for Air–Ground Collaborative Last-Mile Delivery Considering Road Network Fragility by Wei Qi, Ang Li, Honghai Zhang

“…Furthermore, a dynamic model for selecting drone take-off and landing sites, as well as task planning, is developed with the dual objectives of minimizing delivery costs and time while maximizing demand coverage. An enhanced evolutionary algorithm is devised to address the model. …”
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Prediction of bladder cancer prognosis and immune microenvironment assessment using machine learning and deep learning models by Weihao Nie, Yiheng Jiang, Luhan Yao, Xinqing Zhu, Abdullah Y. AL-Danakh, Wenlong Liu, Qiwei Chen, Deyong Yang

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Enhancing Injector Performance Through CFD Optimization: Focus on Cavitation Reduction by Jose Villagomez-Moreno, Aurelio Dominguez-Gonzalez, Carlos Gustavo Manriquez-Padilla, Juan Jose Saucedo-Dorantes, Angel Perez-Cruz

“…The integration of optimization algorithms further enhances these processes by facilitating studies on mechanical behavior and accelerating iterative operations. …”
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Masked face image segmentation using a multilevel threshold with a hybrid fitness function by Nada AbdElFattah Ibrahim, Ehab R. Mohamed, Hanaa M. Hamza, Yousef S. Alsahafi, Khalid M. Hosny

“…EEFO is a bio-inspired metaheuristic algorithm that simulates how electric EEL forages in nature. …”
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Research on stochastic matrix mapping Hash for specific flow matching by TANG Hong, WU Yong-jun, ZHAO Guo-feng

“…Because a general Hash algorithm had high collision rate and was not controlled while be used to flow match-ing,a stochastic matrix mapping Hash algorithm was presented,in which the elements of a large set were mapped into a small set through a pre-choosing stochastic number matrix.Tests show that the algorithm has high operation speed,high storage utilization rate and low collision rate,its flow matching speed is up to 2 million packets per second and it supports 50000 matching rules.…”
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Waveform design and signal processing for terahertz integrated sensing and communication by Xianbin YU, Zhidong LYU, Lianyi LI, Muhammad Idrees Nazar, Lu ZHANG

“…Integrated sensing and communication (ISaC) in the terahertz band can efficiently reduce the consumption of hardware and spectrum resources, while improving the transmission data rate and sensing resolution.Firstly, the development status of ISaC, terahertz communication and sensing were briefly introduced.Then, the strategy of waveform design and optimization for ISaC and the receiving signal processing algorithms were presented.As an example, an OFDM ISaC system operating at 97 GHz was experientially demonstrate, and the performance of ranging, speed and communication were all evaluated in the experiment.Finally, the key issues and research directions of future terahertz ISaC development were discussed.…”
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Analysis of CFAR Detection of Partially-Correlated Ï2 Targets in the Presence of Interferers by Mohamed B. EL_Mashade

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Cooperative Control Approach for Library Group Therapy with Constraint Conditions by Lingyu Yang, Jiahao Xu, Wenguang Zhang

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Mars Robot Puzzle (a Multiagent Approach to the Dijkstra Problem) by E. V. Bodin, N. O. Garanina, N. V. Shilov

“…All our algorithms are multiagent in contrast to "centralized" graph and combinatorial algoritms; correctness of our algorithms is formally proven, while the testing is used for validation of path-planning algorithms.…”
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Lightweight malicious domain name detection model based on separable convolution by Luhui YANG, Huiwen BAI, Guangjie LIU, Yuewei DAI

“…The application of artificial intelligence in the detection of malicious domain names needs to consider both accuracy and calculation speed,which can make it closer to the actual application.Based on the above considerations,a lightweight malicious domain name detection model based on separable convolution was proposed.The model uses a separable convolution structure.It first applies depthwise convolution on every input channel,and then performs pointwise convolution on all output channels.This can effectively reduce the parameters of convolution process without impacting the effectiveness of convolution feature extraction,and realize faster convolution process while keeping high accuracy.To improve the detection accuracy considering the imbalance of the number and difficulty of positive and negative samples,a focal loss function was introduced in the training process of the model.The proposed algorithm was compared with three typical deep-learning-based detection models on a public data set.Experimental results denote that the proposed algorithm achieves detection accuracy close to the state-of-the-art model,and can significantly improve model inference speed on CPU.…”
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Hybrid Technique Used for Straight Line Detection by Fawziya Ramo, Nidhal Al-Assady, Khalil Al-Saif

“…These techniques are:1-Hough Transform(HT), Develpoed Baron’s Method (DBM)and-Genetic Developed Baron’s Method(GDBM)     First technique was applied as it, while the second technique was applied after performing some modification in its algorithm. …”
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A computation offloading scheme for energy consumption optimization in Internet of vehicles by Wenxuan GAO, Xinjie YANG

“…In Internet of vehicles (IoV), vehicle-oriented applications are generally computation-intensive and latency-sensitive.Introducing idle computing resources from mobile vehicles as a supplement to network computing power can effectively alleviate the load pressure on edge servers.The problem of task allocation for edge computation offloading in the context of IoV environment were researched.By fully leveraging the combined computing resources of roadside units (RSU), user vehicles, and mobile vehicles within the RSU service range, a computation offloading strategy based on the sparrow search algorithm was proposed and referred to as sparrow search based computation offloading scheme (S²COS), aiming to optimize the overall system energy consumption.In addition, this strategy fully taked into account practical network issues such as service time constraints caused by vehicle mobility and the potential occurrence of computation node failures.The simulation results demonstrate that S²COS can meet the latency requirements for computation-intensive and latency-sensitive tasks, while significantly reducing system energy consumption.…”
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WFQ ENHANCEMENT USING INTELLIGENT DISTRIBUTED QUEUE BASED ANFIS FOR PACKET SWITCHING NETWORK by Sh. A. Ali, K. A. Nassar

“…The diversity of Internet traffic requires some prioritization and prioritization because some visits deserve great attention while reducing delays and packet losses compared to others. …”
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A Study of Ethical Implications of AI Tools Enhancing User Conveniences in the Indian Digital Landscape by Biju P. R., Gayathri O.

“…This paper examines how the intelligent algorithms affect personal freedoms of weaker sections, particularly the right to choice, and whether they reinforce existing social biases within Indian society. …”
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An Energy-Saving Evaluation Method for Driving Behavior Based on the SHAP Scorecard Model by Guowen Zheng, Deyang Kong, Chenyang Ding, Jiaming Hu, Zhanping Liu

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