Swarm Behaviour Optimisation Methods Based on an Original Algorithm by Krzysztof FALKOWSKI, Michał DUDA

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A Study of Deep Learning Neural Network Algorithms and Genetic Algorithms for FJSP by Xiaofeng Shang

“…The new improved algorithm is based on the combination of deep learning neural networks LSTM and CNN with genetic algorithm (GA), namely, CNN-LSTM-GA algorithm. …”
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A Framework for Real-Time Crop Monitoring and Yield Optimisation: Improving Precision Agriculture with IoT-Driven Sensor Networks and Data Analytics by Shnain Ammar H., Mohammed G., Kumar Yalla Jeevan Nagendra

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Sound Transmission Through a Thin Plate with Shaped Frequency Response by Stanislaw WRONA, Krzysztof MAZUR, Jaroslaw RZEPECKI, Anna CHRAPOŃSKA, Marek PAWEŁCZYK

“…Thin plates, in the form of individual panels or whole device casings, often separate the noise source from its recipients. …”
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Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning. by Liam Brierley, Anna Fowler

“…We obtained a set of 650 spike protein and 511 whole genome nucleotide sequences from 222 and 185 viruses belonging to the family Coronaviridae, respectively. …”
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INCREASED COMPETITIVENESS OF CONSTRUCTION ENTERPRISES ON THE BASIS OF ORGANISATIONAL-ECONOMIC DECISIONS OF PERSONNEL POTENTIAL MANAGEMENT by J. R. Emirbekova

“…The development of an algorithm for optimising the formation and use of human resources of a construction enterprise.Methods. …”
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COMPREHENSIVE CREDIT RISK ASSESSMENT OF UKRAINIAN BANKS by Larysa Hrytsenko, Liudmyla Pavlenko, Iryna Kozhushko, Onur Erişen

“…The financial stability of both individual banks and the banking sector as a whole depends on the feasibility and effectiveness of risk management. …”
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PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

“…Evaluating the veracity, exactness, and retrieval rate of different machine learning algorithms is crucial for choosing the most effective ones. …”
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On optimum multi‐input multi‐output radar signal design: Ambiguity function, manifold structure and duration‐bandwidth by Yuqing Liu, Jia Xu, Kon Max Wong, Timothy N. Davidson

“…Comparing the designs using ED and RD, we find that the convergence of the algorithm can be significantly faster when optimising over the manifold (RD) than when optimising over the whole space (ED). …”
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Hybrid Model for 6G Network Traffic Prediction and Wireless Resource Optimization by Mohammed Anis Oukebdane, A. F. M. Shahen Shah, Md Baharul Islam, John Ekoru, Milka Madahana

“…Large-scale 6G traffic data with varied channel conditions and user scenarios was used to validate the model. An algorithm is presented to describe the training process of the proposed hybrid model. …”
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Probability of stealth multiplets in sample-multiplexing for droplet-based single-cell analysis by Fumio Nakaki, James Sharpe

“…Conclusion Our results show the importance of optimising the labelling procedure and choosing the most suitable demultiplexing algorithm. …”
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