Application of a novel metaheuristic algorithm inspired by connected banking system in truss size and layout optimum design problems and optimization problems by Mehrdad Nemati, Yousef Zandi, Jamshid Sabouri

“…This paper aims to utilize a metaheuristic algorithm which is based on some principals of connected banking systems, which is called the Connected Banking System Optimizer(CBSO) algorithm. …”
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Stochastic Travelling Advisor Problem Simulation with a Case Study: A Novel Binary Gaining-Sharing Knowledge-Based Optimization Algorithm by Said Ali Hassan, Yousra Mohamed Ayman, Khalid Alnowibet, Prachi Agrawal, Ali Wagdy Mohamed

“…The STAP is handled by proposing suitable probability distributions for the time parameters and simulating the problem under such conditions. Many application problems like this one are formulated as nonlinear binary programming models which are hard to be solved using exact algorithms especially in large dimensions. …”
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Mobile robot navigation path algorithm in 3d industrial internet of thing (iot) environment based on 5g mobile communication by Pei Ping, Yu. N. Petrenko

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HiGMA-DADCN: Hirudinaria granulosa multitropic algorithm optimised double attention enabled deep convolutional neural network for psoriasis classification by Soumya C S, Jayanna H S

“…The HiGMA algorithm plays a crucial role in identifying and extracting the most relevant regions of affected skin through optimal segmentation. …”
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CREATION OF COLLABORATIVE DEVELOPMENT ENVIRONMENT IN THE SYSTEM OF DISTANCE LEARNING by Julia Malieieva, Viktor Kosenko, Olga Malyeyeva, Dmitrij Svetlichnyj

“…The purpose of the article is to create a collaborative environment for developing software products in the system of distance learning by forming an interactive platform with the help of Sphere Engine, which provides the ability to debug the code in many programming languages.  At the same time, the following tasks are solved: a review and comparison of existing systems of distance learning; analysis of the functional and features of the Sphere Engine platform; development of the integration algorithm of the service with the system Moodle. …”
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Metropolitan Area Network Model Design Algorithm Using Regional Railways Information and Daily Movement Data for Beyond 5G Research by Koga Nakamura, Shotaro Kitano, Yusuke Hirota, Takehiro Tsuritani, Hiroshi Hasegawa, Takuji Tachibana

“…Although regional railways information has been used to design MAN models, regional railways information is inadequate for designing the topology of metropolitan areas with underdeveloped railway lines. A MAN model algorithm using regional railways information and other regional data is necessary for designing the network models of many metropolitan areas. …”
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Repurposing FDA approved drugs for psoriasis indications through integrated molecular docking, one-SVM algorithm, and molecular dynamics simulation approaches by Saumya Choudhary, Noor Saba Khan, Pallavi Saxena, Parameswar Sahu, Dibyabhaba Pradhan, Harpreet Singh, George Thomas, Neeraj Kumar

“…The study identified Pioglitazone, Trimipramine and Dimetindene as top three contender amongst many other drugs as a new indication against psoriasis.…”
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Energy efficient adaptive clustering with QoS-aware CBRP and grey wolf optimization clustering algorithm for mobile ad-hoc network (MANET) by Minal Patil, Manish Chawhan, Roshan Umate, Abhishek Madankar, Bhumika Neole

“…To meet these challenges, the algorithm of the gray wolf enhancement (GWOCA) focuses on the use of energy and choosing the best cluster (CHS). …”
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Dholes Hunting—A Multi-Local Search Algorithm Using Gradient Approximation and Its Application for Blockchain Consensus Problem by Binh Minh Nguyen, Thieu Nguyen, Quoc-Hien Vu, Tran Huy Hung, Tran Hoang Hai, Huynh Thi Thanh Binh, Van-Dang Tran

“…This study introduces a brand-new swarm-inspired algorithm dubbed dholes hunting-based optimization (DhoH) based on an animal hunting strategy to solve global optimization problems. …”
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MC-ASFF-ShipYOLO: Improved Algorithm for Small-Target and Multi-Scale Ship Detection for Synthetic Aperture Radar (SAR) Images by Yubin Xu, Haiyan Pan, Lingqun Wang, Ran Zou

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A prototype-based rockburst types and risk prediction algorithm considering intra-class variance and inter-class distance of microseismic data by Xiufeng Zhang, Guoying Li, Yang Chen, Hao Wang, Haikuan Zhang, Haitao Li, Weisheng Du, Xiao Li, Xuewei Xu, Yuze He

“…Cross-entropy loss, vector-prototype contrastive loss, and vector-prototype contrastive loss are proposed to automatically control the intra-class variance and inter-class gap of prediction vectors belonging to different rockburst risks and types. Many experiments show that the performance of the proposed CNN-GRU model with prototype-based prediction is superior to other algorithms in the prediction of rockburst risks and types based on MS data.…”
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ICESat-2 Satellite LiDAR Bathymetry Extraction Algorithm Based on Cubic Function Fitting Prediction Interval Along Track Segments by Junyuan Chen, Yi Ma, Yang Jiang, Kun Jia, Aijun Cui, Xuechun Zhang, Shaohui Li, Jingyu Zhang

“…However, due to factors such as atmospheric scattering and absorption, and solar background noise, ICESat-2 data inevitably contains many noise photons. Based on the continuously changing characteristics of the seafloor topography, this article proposes an ICESat-2 bathymetry extraction algorithm based on cubic function fitting prediction interval along track segments. …”
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The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting by A.C. Goulart, A.P. Alencar, G. Tunes, L.L.T. Bianchi, M.H. Miname, C.M. Padilha, J.M.S. Pescuma, A.L.C.C. Rodrigues, B.B. Henares, M.S. de Almeida, T.A.O. Machado, D.H. Syllos, Y.P. Wang, M. Rienzo

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A Very Fast Decision Tree Algorithm for Real-Time Data Mining of Imperfect Data Streams in a Distributed Wireless Sensor Network by Hang Yang, Simon Fong, Guangmin Sun, Raymond Wong

“…This paper proposes a novel stream mining algorithm with a programmable mechanism for handling missing data. …”
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Hybrid data mining and data-driven algorithms for a green logistics transportation network in the post-COVID era: A case study in the USA by Sina Abbasi, Seyedeh Saeideh Mousavi, Ebrahim Farbod, Mohammad Yousefi Sorkhi, Mohammad Parvin

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Optimization of Interval Type-2 Fuzzy Logic System By using A New Hybrid Method of Whale Optimization algorithm and Extreme Learning Machine by Mohammed Qasim Ibrahim, Nazar Khalaf Hussein Al-Dikhil

“…The Researchers have used many methods and algorithms to solve this problem, and among the most important algorithms used in this field are the)Meta-heuristic) algorithms. …”
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Modeling of Emergency Supply Scheduling Problem Based on Reliability and Its Solution Algorithm under Variable Road Network after Sudden-Onset Disasters by Tinggui Chen, Shiwen Wu, Jianjun Yang, Guodong Cong, Gongfa Li

“…It is common that many roads in disaster areas are damaged and obstructed after sudden-onset disasters. …”
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OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data. by Raga Krishnakumar, Anne M Ruffing

“…In addition, we provide the code so that users can retrain the algorithm and re-establish hyperparameters based on any data they choose, allowing for this method to be expanded as additional data is generated. …”
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A TRIZ-based algorithm for business model innovation in manufacturing SMEs: a systematic framework for strategic innovation integrated with the business model canvas by Juan G. Mejia-Duque, Andres Guerrero-Alvarado

“…This research proposes a TRIZ-based algorithm integrated with the BMC to overcome these barriers, enhancing SMEs’ sustainability through structured BMI. …”
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Development of Dispatching Rule based Heuristic Algorithms for Real-Time Dynamic Scheduling of Non-identical Parallel Burn-in Ovens with Machine Eligibility Restriction by Dhaval Pujara, M. Mathirajan

“…Due to computational intractability in using mathematical programming approach, many researchers considered Dispatching Rules (DR) based heuristic algorithm in SM industry for scheduling of various batch processing machines, including BO. …”
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