BSO-CNN: A BSO Pressure Optimized CNN Model for Water Distribution Networks by Waghmare Shwetambari Pandurang, Renu Praveen Pathak, Imtiyaz Ahmad Wani

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Design an intelligent model for suppliers productivity evaluation in sustainable supply chain by Majid Yarahmadi, Saeedeh Sakiniya

“…Finally, an intelligent DEA model for ranking the supplier companies via optimal  value is designed.Findings: This paper presents a new fuzzy DEA model based on a Genetic Algorithm for evaluating the productivity of suppliers in a sustainable supply chain.Originality/Value: In the proposed method, since the -cut obtained from the Genetic Algorithm is optimal, there is no longer a need to calculate the efficiency for different α-cuts through trial and error. …”
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Improved performance of single sided axial flux for reduction in cogging torque (IMPACT) by Ahmed Dawood, Junaid Ikram, Muhammad Bilal Riaz, Khurram Saleem Alimgeer, Shumaila Javeed

“…In PM machine design cogging torque is a concern since it adds undesirable harmonics to pulsating torque. …”
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Designing an innovative closed-loop supply chain network considering economic and environmental aspects by Maryam Rahmaty

“…The considered supply chain simultaneously makes strategic and tactical decisions, such as locating potential facilities, optimal allocation of product flow, and determining the optimal level of discount. Since the presented model is an NP-Hard model, MOPSO and SPEA II algorithms have been used to solve the problem. …”
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A Minimized Data Collection Optimization Method for Distribution Networks Considering Multiple-Time and Compressed Candidate Sets by Zhaoxiang YUAN, Zhihong XIAO, Jing WANG, Yanling YU, Yan HUANG, Xingle GAO

“…The model of this method is solved in two stages: In the first stage, the candidate measurement set is compressed, with the Fisher information matrix (FIM) value used as the pheromone update parameter of ant colony algorithm. Since an iterative update is not required for the FIM, a significant decrease in algorithm complexity can be found. …”
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An Efficient Approach Based on RAE-GAMI-NET for Long Range Attack Detection on Blockchain by Vasavi Chithanuru, Mangayarkarasi Ramaiah

“…Long-range attacks (LRAs) are when an adversary attempts to rewrite the blockchain’s history from a point far back in time. Since PoS Blockchain relies on validators’ stakes as a form of security, LRAs can potentially undermine the network’s security if not detected and prevented. …”
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Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data by Elham Ilbeygi, Farzad Azadshahraki, Juan Ignacio Arribas, Yousef Abbaspour-gilandeh, Sajad Sabzi, Rouhollah Karimzadeh

“…In application of the PLSR method, various pre-processing algorithms were used. In order to statistically properly validate the hybrid ANN-ABC predictive method, 20 runs were performed. …”
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Reliability-Based Optimum Design of Dome Truss Structures through Enhanced Vibration Particle System by Pedram Hosseini, Nasibeh Hatami, Seyed Rohollah Hoseini Vaez

“…Also, reliability index 3 is set as the minimum target reliability index. Meta-heuristic algorithms can be used to achieve optimal design and appropriate safety since mathematical calculations are time-consuming. …”
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AI Personalization and Its Influence on Online Gamblers’ Behavior by Florin Mihai, Ofelia Ema Aleca, Daniel-Marius Iordache

“…This research contributes to the literature on digital behavior influencing gambling by framing the analysis as observational and quasi-experimental and suggests that further studies use experimental and log-level data to more specifically analyze the algorithmic effects. However, no causal claims can be made about AI influence as the temporal contradictions are interpreted as broad phenomena of technological developments, since they are not measured as algorithmic interventions. …”
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Optimal Structure to Maximize Torque per Volume for the Consequent-Pole PMSM and Investigating the Temperature Effect by Alireza Hosseinpour, Ahmed Abbas, Mahmoud Oukati Sadegh, Atif Iqbal, Aymen Flah, Lukas Prokop, Enas Ali, Ramy N. R. Ghaly

“…Since the said algorithms usually can minimize, its inverse is minimized instead of the index mentioned above being maximized. …”
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Current Applications, Challenges, and Future Directions of Artificial Intelligence in Emergency Medicine: A Narrative Review by Mehrdad Farrokhi, Amir H Fallahian, Erfan Rahmani, Ali Aghajan, Morteza Alipour, Parisa Jafari Khouzani, Hossein Boustani Hezarani, Hamed Sabzehie, Mohammad Pirouzan, Zahra Pirouzan, Behnaz Dalvandi, Reza Dalvandi, Parisa Doroudgar, Habib Azimi, Fatemeh Moradi, Amitis Nozari, Maryam Sharifi, Hamed Ghorbani, Sara Moghimi, Fatemeh Azarkish, Soheil Bolandi, Hooman Esfahani, Sara Hosseinmirzaei, Arezou Niknam, Farzaneh Nikfarjam, Parham Talebi Boroujeni, Mahyar Noorbakhsh, Parham Rahmani, Fatemeh Rostamian Motlagh, Khadijeh Harati, Masoud Farrokhi, Sina Talebi, Lida Zare Lahijan

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DISCRITE MATHEMATICS TRAINING OF PEDAGOGICAL BACHELOR AND MAGISTRACY STUDENTS – THE FUTURE TEACHERS OF MATHEMATICS AND COMPUTER SCIENCE by V. I. Igoshin

“…This field of mathematics has had the priority in various practical applications since 1970s and till our days. The paper outlines the model of pedagogical mathematical education including the following disciplines: mathematical logic, discrete mathematics and algorithm theory. …”
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Variability of ETAS parameters and their relationship with physical processes for earthquake forecasting in Africa by Thystere Matondo Bantidi, Takeshi Nishimura, Takeo Ishibe, Bogdan Enescu, Georges Mavonga Tuluka

“…Variability in these parameters suggests that earthquakes are driven by distinct mechanisms. Since these parameters vary with local geological factors and are not transferable across tectonic settings, region-specific calibration is essential. …”
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ABF-RRT*: Bidirectional fast optimal rapidly-exploring random tree via adaptive sampling of a permissible hyper-ellipsoid by Zhaoyang Zeng, Yufang Chang

“…The improved bidirectional planner combines the bisection optimization process, significantly improves the topological structure of the random tree, and accelerates the convergence to the optimal path solution. Since the algorithm relies on the tree expansion framework, it is compatible with various samplers and graph pruning strategies. …”
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Safe transductive support vector machine by Haiyan Chen, Ying Yu, Yizhen Jia, Linghui Zhang

“…Since semi-supervised learning can use fewer labelled samples to train a better model, semi-supervised methods are becoming popular in data mining. …”
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Leveraging Swarm Intelligence for Invariant Rule Generation and Anomaly Detection in Industrial Control Systems by Yunkai Song, Huihui Huang, Hongmin Wang, Qiang Wei

“…To address these challenges, this paper proposes a novel approach that leverages swarm intelligence algorithms for the extraction of numerical association rules, specifically designed for anomaly detection in ICS. …”
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Multi-objective Windy Postman Problem in a Fuzzy Transportation Network by Debosree PAL, Haresh Kumar SHARMA, Olegas PRENTKOVSKIS, Falguni CHAKRABORTY, Lijana MASKELIŪNAITĖ

“…Moreover, the model is solved using two multi-objective genetic algorithms (MOGAs): fast Pareto genetic algorithm (FastPGA) and nondominated sorting genetic algorithm II (NSGAII). …”
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Potential cost savings from generic medicines – protecting the Prescribed Minimum Benefits by Elizabeth Nicolosi, Andy Gray

“…Background: South Africa has followed a pro-generic policy since the introduction of the National Drug Policy in 1996. …”
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A State-of-the-Art Fractional Order-Driven Differential Evolution for Wind Farm Layout Optimization by Sichen Tao, Sicheng Liu, Ruihan Zhao, Yifei Yang, Hiroyoshi Todo, Haichuan Yang

“…Meanwhile, the Differential Evolution algorithm (DE), known for its strong global optimization ability and excellent performance in handling complex nonlinear problems, is well recognized in continuous optimization issues. …”
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Uncertainty assessment for the Bayesian updating process of concrete strength properties by Matthias Haslbeck, Robert Kroyer, Andreas Taras, Thomas Braml

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