The Implementation of TSP Algorithm in Optimization of the Movement Path of the Mobile Medical Laboratory During the Post-Earthquake Using GIS, ACO and ICA Algorithms (Case Study:... by Mohammad Hosein Saraei, Mohammad Reza Rezaei, mohsen adeli

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Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions by Sunawar Khan, Tehseen Mazhar, Tariq Shahzad, Muhammad Amir Khan, Ateeq Ur Rehman, Mamoon M. Saeed, Habib Hamam

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The Application of Multiobjective Genetic Algorithm to the Parameter Optimization of Single-Well Potential Stochastic Resonance Algorithm Aimed at Simultaneous Determination of Mul... by Haishan Deng, Shaofei Xie, Bingren Xiang, Ying Zhan, Wei Li, Xiaohua Li, Caiyun Jiang, Xiaohong Wu, Dan Liu

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An optimized deep-forest algorithm using a modified differential evolution optimization algorithm: A case of host-pathogen protein-protein interaction prediction by Jerry Emmanuel, Itunuoluwa Isewon, Jelili Oyelade

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Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm by Mu Panliang, Sanjay Madaan, Siddiq Ahmed Babikir Ali, Gowrishankar J., Ali Khatibi, Anas Ratib Alsoud, Vikas Mittal, Lalit Kumar, A. Johnson Santhosh

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Construction of College Students’ Mental Health Assessment and Art Therapy System Aided by the Internet of Things and Big Data by Qing Li

“…In order to improve the effect of college students’ mental health assessment, this paper combines the Internet of Things and big data technology to build a college student’s mental health assessment system and analyzes and verifies the clustering effectiveness indicators by using FCM, GK, and GG clustering algorithms. Moreover, this paper explores the basic concepts and processes of FCM algorithm, GK algorithm, and GG algorithm and expounds the connection between the three algorithms. …”
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Management of the Pregnant Inflammatory Bowel Disease Patient on Antitumour Necrosis Factor Therapy: State of the Art and Future Directions by Yvette PY Leung, Remo Panaccione, Subrata Ghosh, Cynthia H Seow

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Explainable quality assessment of effective aligned skeletal representations for martial arts movements by multi-machine learning decisions by Yiqun Pang, Kaiqi Zhang, Fengmei Li

“…Abstract How to utilize modern technological means to provide both accurate scoring and objective feedback for martial arts movements has become an issue that needs to be addressed in the field of physical education. …”
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Evolutionary Algorithms and Quantum Computing: Recent Advances, Opportunities, and Challenges by Junaid Ur Rehman, Muhammad Shohibul Ulum, Abdurrahman Wachid Shaffar, Amirul Adlil Hakim, Mujirin, Zaid Abdullah, Hayder Al-Hraishawi, Symeon Chatzinotas, Hyundong Shin

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Regulation of Intellectual Property Rights (IPR) in Artworks by Robots and Algorithms by Febrina Raevita, Nur Lailatuka Syafa’atul Uzma, Muhammad Alfarizy

“…The regulation of Intellectual Property Rights (IPR) in works of art by robots and algorithms is a controversial subject due to the ability of Artificial Intelligence (AI) to produce works of art that closely resemble human intelligence independently. …”
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An Experiment on the Use of Genetic Algorithms for Topology Selection in Deep Learning by Fernando Mattioli, Daniel Caetano, Alexandre Cardoso, Eduardo Naves, Edgard Lamounier

“…The evaluated algorithms were able to find competitive topologies while spending less computational resources when compared to state-of-the-art methods.…”
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Simple-Random-Sampling-Based Multiclass Text Classification Algorithm by Wuying Liu, Lin Wang, Mianzhu Yi

“…The experimental results on the TanCorp data set show that SRSMTC algorithm can achieve the state-of-the-art performance at greatly reduced space-time requirements.…”
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An Elite Decision Making Harmony Search Algorithm for Optimization Problem by Lipu Zhang, Yinghong Xu, Yousong Liu

“…The computational results show that the proposed new algorithm is competitive in finding solutions with the state-of-the-art harmony search variants.…”
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Improved Solutions for the Optimal Coordination of DOCRs Using Firefly Algorithm by Muhammad Sulaiman, Waseem, Shakoor Muhammad, Asfandyar Khan

“…From the numerical results, it is obvious that the firefly algorithm with certain parameter settings performs better than the other state-of-the-art algorithms.…”
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A Vehicle Detection Algorithm Based on Deep Belief Network by Hai Wang, Yingfeng Cai, Long Chen

“…On-road experimental results demonstrate that the algorithm performs better than state-of-the-art vehicle detection algorithm in testing data sets.…”
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An Entropy-Based Multiobjective Evolutionary Algorithm with an Enhanced Elite Mechanism by Yufang Qin, Junzhong Ji, Chunnian Liu

“…A strategy based on entropy is used to maintain the diversity of population when the population is near to the Pareto front. The proposed algorithm is executed on widely used test problems, and the simulated results show that the algorithm has better or comparative performances in convergence and diversity of solutions compared with two state-of-the-art evolutionary algorithms: NSGA-II, SPEA2 and the MOSADE.…”
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An Adaptive Cauchy Differential Evolution Algorithm for Global Numerical Optimization by Tae Jong Choi, Chang Wook Ahn, Jinung An

“…The experimental results show that the proposed algorithm is more robust than the standard DE algorithm and several state-of-the-art adaptive DE algorithms in solving various unimodal and multimodal problems.…”
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MOANA: Multi-objective ant nesting algorithm for optimization problems by Noor A. Rashed, Yossra H. Ali, Tarik A. Rashid, Seyedali Mirjalili

“…Comparative analysis against state-of-the-art algorithms like MOPSO, MOFDO, MODA, and NSGA-III demonstrates MOANA's superior performance in terms of convergence speed and Pareto front coverage. …”
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Crocodile optimization algorithm for solving real-world optimization problems by Fu Yan, Jin Zhang, Jianqiang Yang

“…The experimental results show that the comprehensive performance of COA outperforms both of its similar variants and most of other state-of-the-art algorithms, in terms of solution accuracy, robustness and convergence speed. …”
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PRESEE: An MDL/MML Algorithm to Time-Series Stream Segmenting by Kaikuo Xu, Yexi Jiang, Mingjie Tang, Changan Yuan, Changjie Tang

“…To evaluate the performance of PRESEE, we conduct several experiments on time-series streams of different types and compare it with the state-of-art algorithm. The empirical results show that PRESEE is very efficient for real-time stream datasets by improving segmenting speed nearly ten times. …”
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