Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms by Ammara Masood, Adel Ali Al-Jumaily

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Developing Train Station Parking Algorithms: New Frameworks Based on Fuzzy Reinforcement Learning by Wei Li, Kai Xian, Jiateng Yin, Dewang Chen

“…To increase the parking accuracy, robustness, and self-learning ability, we propose new train station parking frameworks by using the reinforcement learning (RL) theory combined with the information of balises. Three algorithms were developed, involving a stochastic optimal selection algorithm (SOSA), a Q-learning algorithm (QLA), and a fuzzy function based Q-learning algorithm (FQLA) in order to reduce the parking error in urban rail transit. …”
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Engine Health Status Prediction Based on Oil Analysis With Augmented Machine Learning Algorithms by Slawomir Szrama

“…In the article author presented how the artificial intelligence algorithms could be applied to help in engine oil test results analysis. …”
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Large-scale acceleration algorithms for a deep convective physical parameterization scheme on GPU by Yongfei Wang, Junping Wang, Jiarui Tian, Lin Li, Fangping Ma, Fang Peng, Hu Ke

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Large-scale acceleration algorithms for a deep convective physical parameterization scheme on GPU. by Yongfei Wang, Junping Wang, Jiarui Tian, Lin Li, Fangping Ma, Fang Peng, Hu Ke

“…In the absence of I/O transmission, the proposed algorithm achieves a speedup of 413.6×. Experimental results demonstrate the significant acceleration effect of the proposed algorithms and methods. …”
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Utilizing the Novel Developed MLP Techniques to Survey Pile Subsidence via Optimization Algorithms by Augustinus Sieck, Graciela Daniels

Subjects: “…arithmetic optimization algorithm…”
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Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms by Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal

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Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review by Shubhkirti Sharma, Vijay Kumar, Kamlesh Dutta

“…The multi-objective optimization algorithms show the encouraging potential in IoT networks to enhance multiple conflicting objectives for intrusion detection. …”
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Response to: Comment on “Integrating Human Intuition into Prediction Algorithms for Improved Surgical Risk Stratification” by Margaret T. Berrigan, MD, MS, Brendin R. Beaulieu-Jones, MD, MBA, MBI, Jayson S. Marwaha, MD, MBI, Gabriel A. Brat, MD, MPH, FACS

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The role of hybrid models in financial decision-making: Forecasting stock prices with advanced algorithms by Xiaoyi Zhu

“…This study introduces a novel hybrid model to tackle the abovementioned issues by integrating various algorithms, including bidirectional long short-term memory and random forest. …”
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Selection and Penalty Strategies for Genetic Algorithms Designed to Solve Spatial Forest Planning Problems by Matthew P. Thompson, Jeff D. Hamann, John Sessions

“…Genetic algorithms (GAs) have demonstrated success in solving spatial forest planning problems. …”
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Integrating novel stellarator single-stage optimization algorithms to design the Columbia stellarator experiment by A. Baillod, E.J. Paul, G. Rawlinson, M. Haque, S.W. Freiberger, S. Thapa

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A Numerical Study on the Regularity of d-Primes via Informational Entropy and Visibility Algorithms by B. L. Mayer, L. H. A. Monteiro

“…Then, these sequences are mapped into graphs by employing two visibility algorithms. Computer simulations reveal that the degree distribution of most of these graphs follows a power law. …”
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Image encryption algorithms based on chaos through dual scrambling of pixel position and bit by Xiao-heng DENG, Chun-long LIAO, Cong-xu ZHU, Zhi-gang CHEN

“…As the current popular chaos-based image encryption algorithms with the permutation–diffusion structure have security flaws of no immunity to attack.A new image encryption algorithm was proposed based on the analysis of current algorithms,which can well resist the chosen-plaintext and the chosen-ciphertext attacks.The algorithm uses Kent chaotic map to generate key streams,and produces the parameters of the chaotic system and the iteration times according to the characteristics of plaintext pixels and input key.Firstly,the positions of pixels were shuffled totally with the chaotic sequence.Secondly,the 0 and 1 bit positions of image pixels were scrambled by using another chaotic sequence generated by the input key.The experimental results show that the algorithm cannot only resist the chosen plaintext attack and chosen ciphertext attack but also achieve better cryptographic properties,such as key space,statistical analysis.…”
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A Comparative Study of Genetic and Firefly Algorithms for Sensor Placement in Structural Health Monitoring by Guang-Dong Zhou, Ting-Hua Yi, Huan Zhang, Hong-Nan Li

“…In this paper, a comparative study between the genetic algorithm (GA) and the firefly algorithm (FA) in solving the OSP problem is conducted. …”
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Species determination using AI machine-learning algorithms: Hebeloma as a case study by Peter Bartlett, Ursula Eberhardt, Nicole Schütz, Henry J. Beker

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Structural Optimization of the Aircraft NACA Inlet Based on BP Neural Networks and Genetic Algorithms by Zhimao Li, Changdong Chen, Houju Pei, Benben Kong

“…A new method of integrating the BP neural networks and genetic algorithm is used for structure optimization and is proven effective. …”
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Prediction the Choice of Financing for Start-ups using Machine Learning Algorithms and Behavioral Biases by Naimeh Niazi, Hamideh Razavi

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Comparative Study of Population-based Metaheuristic Algorithms in Case Study of DNA Sequence Assembly by Lala Septem Riza, Yudi Prasetyo, Muhammad Iqbal Zain, Herbert Siregar, Rani Megasari, Topik Hidayat, Diah Kusumawaty, Miftahurrahma Rosyda

“…The algorithms used in this study include the Honey Badger Algorithm (HBA), Levy Flight Distribution (LFD), African Vultures Optimization Algorithm (AVOA), and Particle Swarm Optimization (PSO). …”
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Optimizing cut order planning: A comparative study of heuristics, metaheuristics, and MILP algorithms by Sharif Al-Mahmud, Jose Alejandro Cano, Emiro Antonio Campo, Stephan Weyers

“…Modifications to existing heuristics, combined with tournament selection in genetic algorithms (GA), improve solution quality and efficiency. …”
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