An improved beetle antennae search algorithm and its application in coverage of wireless sensor networks by Biao Yin, Liping Mo, Wei Min, Shan Li, Cunwei Yu

“…The improvements are structured into three principal components: first, dynamic step-size adjustment predicated on initial population to bolster solution accuracy and expedite convergence; second, position update mechanism integrating golden sine algorithm to diversify search patterns and expedite convergence; and third, population disturbance based on vertical and horizontal cross strategy to avoid falling into local optima. …”
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Enhanced Search Spring Algorithm for Green Agri-Food Supply Chain Network Design by Xiaoya Hu

“…In light of these challenges, this study presents a new Enhanced Search Spring Algorithm (ESSA), which optimizes GASCN by minimizing total transportation costs and is characterized by improved solution quality and computational efficiency. …”
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Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty by Muqiao Cai

“…This framework combines a Backpropagation Neural Network (BPNN) with the Cuckoo Search Algorithm (CSA) to build an adaptive learning system. …”
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Stock Price Pattern Prediction Based on Complex Network and Machine Learning by Hongduo Cao, Tiantian Lin, Ying Li, Hanyu Zhang

“…The results show that the optimal models corresponding to the two algorithms can be found through cross-validation and search methods, respectively. …”
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mineMS2: annotation of spectral libraries with exact fragmentation patterns by Alexis Delabrière, Coline Gianfrotta, Sylvain Dechaumet, Annelaure Damont, Thaïs Hautbergue, Pierrick Roger, Emilien L. Jamin, Olivier Puel, Christophe Junot, François Fenaille, Etienne A. Thévenot

“…We propose an innovative de novo strategy for searching for exact fragmentation patterns within collections of MS/MS spectra. …”
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Iterative Shaping of Error Patterns For Normal Syndrome Decoding of Iterative Codes by X. H. Ren, V. K. Kanapelka, V. Yu. Tsviatkou

“…The norm calculated based on the syndrome unambiguously determines the base pattern and the corresponding subset of error patterns, which reduces the search space for the syndrome to a subset. …”
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Codebook Design for Parallel Dynamic Subarrays in Millimeter Wave Massive MIMO Systems by Qi Li, Fu-Chun Zheng, Ke Xu, Lianming Li

“…Given the high grating lobes, we further design a PS selection strategy and codeword to obtain a high-resolution pattern with low grating lobes. In particular, an exhaustive algorithm is first proposed to get the optimum subarray configuration strategy. …”
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An Improved Hashing Approach for Biological Sequence to Solve Exact Pattern Matching Problems by Prince Mahmud, Anisur Rahman, Kamrul Hasan Talukder

“…A novel hashing method has been proposed, which has reduced the preprocessing time and hash collision of the EHM algorithm. We devised the Hashing Approach for Pattern Matching (HAPM) algorithm by taking the best parts of the EHM and Quick Search (QS) algorithms and adding a way to avoid hash collisions. …”
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Patterns and risk factors of falls among older adults: a systematic review by Tetiana Yermakova

“…The aim of this systematic review is to identify the key patterns and risk factors of falls among older adults and propose recommendations for their prevention. …”
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Array Pattern Synthesis Using Particle Swarm Optimization with Dynamic Inertia Weight by Chuang Han, Ling Wang

“…A Feedback Particle Swarm Optimization (FPSO) with a family of fitness functions is proposed to minimize sidelobe level (SLL) and control null. In order to search in a large initial space and converge fast in local space to a refined solution, a FPSO with nonlinear inertia weight algorithm is developed, which is determined by a subtriplicate function with feedback taken from the fitness of the best previous position. …”
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Review and Mapping of Search-Based Approaches for Program Synthesis by Takfarinas Saber, Ning Tao

“…We have also mapped and shed light on patterns connecting the problem, the representation and the search algorithm type. …”
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Quantum behaved Intelligent Variant of Gravitational Search Algorithm with Deep Neural Networks for Human Activity Recognition by Sonika Jindal, Monika Sachdeva, Alok K. S. Kushwaha

“…The proposed intelligent variant is termed as INQGSA which optimizes the features by using the advantageous attributes of quantum computing (QC) and intelligent gravitational search algorithm (INGSA). The INGSA adds the intelligent factor in the classical gravitational search algorithm (GSA) to avoid the trapping of agents in later iteration. …”
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Adaptive energy loss optimization in distributed networks using reinforcement learning-enhanced crow search algorithm by S. Bharath, A. Vasuki

“…Unlike conventional heuristic methods, which follow predefined search patterns, RL-CSA dynamically refines its search trajectory based on real-time feedback, ensuring superior convergence speed and global search efficiency. …”
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Search for extremity zones with discrete mathematical analysis algorithms to identify risks when drilling based on geophysical data by Bogoutdinov Shamil, Odintsova Anastasiya, Pirogova A.

“…The paper considers in detail the algorithm for searching for extremity zones, based on discrete mathematical analysis (DMA), as applied to the problem of identifying geological hazards. …”
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Accelerated preprocessing in task of searching substrings in a string by A. V. Mazurenko, N. V. Boldyrikhin

“…Algorithms of searching substring in a string are used in signature-based discovery tasks.Materials and Methods. …”
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GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm. by Leonardo Bottolo, Marc Chadeau-Hyam, David I Hastie, Tanja Zeller, Benoit Liquet, Paul Newcombe, Loic Yengo, Philipp S Wild, Arne Schillert, Andreas Ziegler, Sune F Nielsen, Adam S Butterworth, Weang Kee Ho, Raphaële Castagné, Thomas Munzel, David Tregouet, Mario Falchi, François Cambien, Børge G Nordestgaard, Fredéric Fumeron, Anne Tybjærg-Hansen, Philippe Froguel, John Danesh, Enrico Petretto, Stefan Blankenberg, Laurence Tiret, Sylvia Richardson

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Highly efficient variable step-size binary search algorithm for ultra-compact cyclic three-mode converters by Yongchen Wang, Hangming Fan, Zhe Yuan, Junlin Pan, Xiaoyang Liu, Mengfan Cheng, Qi Yang, Deming Liu, Lei Deng

“…The proposed variable step-size binary search offers a novel approach for efficiently designing compact digital nano-photonic devices, addressing limitations such as slow convergence, sensitivity to initial patterns, and susceptibility to local optima. …”
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Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms by S. Jayanthi, Swathi Sowmya Bavirthi, P. Murali, K. Vijaya Kumar, Hend Khalid Alkahtani, Mohamad Khairi Ishak, Samih M. Mostafa

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APPSO‐NN: An adaptive‐probability particle swarm optimization neural network for sensorineural hearing loss detection by Jingyuan Yang, Yu‐Dong Zhang

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Role of Artificial Intelligence in Validating Palatal Rugae Patterns for Individual Identification: A Systematic Review by Balajee Venkatesh, A Haripriya

“…Objectives: To evaluate AI’s accuracy in identifying individuals using palatal rugae patterns to determine the reliability of AI software when integrated with different software platforms and its implications in forensics. …”
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