(IoT) Network intrusion detection system using optimization algorithms by Luo Shan

“…Abstract To address the complex requirements of network intrusion detection in IoT environments, this study proposes a hybrid intelligent framework that integrates the Whale Optimization Algorithm (WOA) and the Grey Wolf Optimization (GWO) algorithm—referred to as WOA-GWO. …”
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Overview of Deep Learning Algorithms and Optimizers for Brain Tumor Segmentation by Nisha Purohit, Chandi Prasad Bhatt

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Novel Multimodal Fusion Algorithm for Non-Intrusive Anxiety Detection by Mahir Shadid, Mushfiqus Salehin Afnan, Rashed Mustafa, M. Jamshed Alam Patwary

“…The primary advantage of TI-Fusion is its non-intrusive nature, ensuring patient comfort by avoiding invasive methods while still delivering robust diagnostic capabilities. …”
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UAV Signal Modulation Recognition Algorithm Based on Joint Features by Yang Zheng, Zhihai Zhuo

“…After quantization, the recognition performance remains nearly unaffected, while computational resource requirements are greatly reduced, making the algorithm highly suitable for deployment in resource-constrained environments.…”
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Trajectory Similarity Algorithm Based on DTW and Trajectory Point Compression by GAO Wei, QIAN Chengyang, ZHANG Qi, XIE Hongquan

“…Understanding the behavior characteristics of these holders through processing massive trajectory data has become an important issue to be addressed using trajectory similarity algorithms. To optimize the computational efficiency of the algorithm while maintaining its accuracy, this paper presents an algorithm based on an improved dynamic time warping (DTW) algorithm, i.e. the compression DTW (CN-DTW) algorithm to overcome the deficiencies of long running time and ill-conditioned alignment in the DTW algorithm. …”
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Quantum Algorithm for Solving the Wave Equation on a Hexagonal Grid by Roman Novak

“…Numerical methods based on finite differences for solving the wave equation are prone to various errors, a challenge that also applies to the semi-discrete case of a recently proposed quantum algorithm that preserves continuous time while discretizing space into a quantum state vector. …”
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Improving the algorithm for determining the areas of operation of long-range aircraft by K. A. Kuts

“…The new algorithm pays special attention to the selection of the original value of operation area. …”
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From access and transparency to refusal: Three responses to algorithmic governance by Alexandra James, Danielle Hynes, Andrew Whelan, Tanja Dreher, Justine Humphry

“…While the three responses do not constitute a chronology, we conclude with a discussion of the resurgent interest in refusal as a framework and method to intervene in harmful data-driven algorithmic systems. …”
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An Efficient Resource Allocation Algorithm for Task Offloading in the Internet of Vehicles by Ahmad Salehi, Sadoon Azizi

“…Simulation results demonstrate that the proposed algorithm reduces memory costs and penalties from rejected tasks, while improving overall system profit. …”
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An Evolutionary Algorithm for Solving Academic Courses Timetable Scheduling Problem by Israa Abdulameer Abduljabbar, Sura Mahmood Abdullah

“…The major idea is to generate course timetables automatically while discovering the area of constraints to get an optimal and flexible schedule with no redundancy through the change of a viable course timetable. …”
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Firefly algorithm with multiple learning ability based on gender difference by Wenning Zhang, Chongyang Jiao, Qinglei Zhou

“…Abstract The Firefly Algorithm (FA), while effective for complex optimization, suffers from inherent limitations such as search oscillation and low convergence precision. …”
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Retinal Vessel Segmentation Using Math-Inspired Metaheuristic Algorithms by Mehmet Bahadır Çetinkaya, Sevim Adige

“…Math-inspired metaheuristic algorithms can be considered to be one of the most robust groups of algorithms, while also generally presenting non-complex structures. …”
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Improved SOM algorithm for damage characterization based on visual sensing by Hongtao Zhu, Shuyun Guo

“…Additionally, employing stochastic gradient descent as an optimization algorithm enhances the model training efficiency. Experimental results showcase that the model exhibits a detection time of merely 0.8 seconds, while demonstrating outstanding fitting and clustering performance, achieving an actual accuracy of 98.2%. …”
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Quantum Testing of Recommender Algorithms on GPU-Based Quantum Simulators by Chenxi Liu, W. Bernard Lee, Anthony G. Constantinides

“…This study explores the application of quantum computing in asset management, focusing on the use of the Quantum Approximate Optimization Algorithm (QAOA) to solve specific classes of financial asset recommendation problems. …”
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Desing of the algorithm, print and analysis of porous structures with modifiable parameters by Radosław Grabiec, Jacek Tarasiuk, Sebasatian Wroński

“… The purpose of this paper was to create an algorithm able to creating a porous structure with variable properties, print and analyze them. …”
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An Investigation on Prediction of Infrastructure Asset Defect with CNN and ViT Algorithms by Nam Lethanh, Tu Anh Trinh, Mir Tahmid Hossain

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Efficient algorithms for electric vehicles’ min-max routing problem by Seyed Sajjad Fazeli, Saravanan Venkatachalam, Jonathon M. Smereka

“…We propose an efficient branch and cut framework and a three-phase hybrid heuristic algorithm that can efficiently solve a variety of instances. …”
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ALGORITHM FOR OPTIMIZING ORGANIC CARBON AND NITROGEN FLOWS ON RECLAIMED LANDS by Mikhail N. Lytov

“…The working hypothesis of the research is that any level of agrocenosis bioproductivity requires a proportional amount of decomposable organic matter, which should not exceed a certain share of labile organic matter contained in the soil. Results. An algorithm that operates with two main regulators: the application mass of mineral nitrogen and organic matter, and determines the optimal balance for them, ensuring at least a non-negative trend in stable humus reproduction while achieving target indicators for the level of agrocenosis bioproductivity, has been developed. …”
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A Genetic Algorithm for Site-Specific Management Zone Delineation by Francisco Huguet, Lluís M. Plà-Aragonés, Víctor M. Albornoz, Mauricio Pohl

“…This paper presents a genetic algorithm-based methodology to address the Site-Specific Management Zone (SSMZ) delineation problem. …”
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MF-YOLO: Mask Wearing Detection Algorithm for Dense Environments by Peng Wen, Zhengyi Yuan, Junhu Zhang, Haitao Li

“…Experimental results in the public MASK dataset and the self-built SFMD dataset demonstrate that the proposed algorithm significantly accelerates convergence while improving accuracy by 2.1% and 1.3%, respectively, compared to the original network. …”
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