Discovering Weighted Patterns in Intron Sequences Using Self-Adaptive Harmony Search and Back-Propagation Algorithms by Yin-Fu Huang, Chia-Ming Wang, Sing-Wu Liou

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The Legal Issue of Deterrence of Algorithmic Control of Digital Platforms: The Experience of China, the European Union, Russia and India by Yu. Kharitonova, N. S. Malik, T. Yang

“…The authorities in a number of states are concerned about the need for public disclosure of the recommendation algorithms that are used in online services. The introduction of regulations aimed at software developers is frequently proposed as a potential solution to this problem of algorithm transparency. …”
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Sparse Inversion of Gravity and Gravity Gradient Data Using a Greedy Cosine Similarity Search Algorithm by Luofan Xiong, Zhengyuan Jia, Gang Zhang, Guibin Zhang

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Email Spam Detection Using a Hybrid Approach of Feedforward Neural Network and Penguin Optimization Algorithm by Layth Al-busultan

“…The POA is a powerful optimization algorithm that can perform very well when fine-tuning the weights and biases of a neural network. …”
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Learning unbiased risk prediction based algorithms in healthcare: A case study with primary care patients by Vibhuti Gupta, Julian Broughton, Ange Rukundo, Lubna J. Pinky

“…However, most of the clinical AI methods developed and deployed in hospitals have algorithmic and data-driven biases due to insufficient representation of specific race, gender, and age group which leads to misdiagnosis, disparities, and unfair outcomes. …”
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Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey by Karthik Ramesh, BS, Aaron Boussina, PhD, Supreeth P. Shashikumar, PhD, Atul Malhotra, MD, Christopher A. Longhurst, MD, MS, Christopher S. Josef, MD, Kimberly Quintero, RN, MS, Jake Del Rosso, MD, Shamim Nemati, PhD, Gabriel Wardi, MD, MPH

“…COnformal Multidimensional Prediction Of SEpsis Risk (COMPOSER), a deep learning algorithm, is used at two EDs of a large academic medical center to predict sepsis before clear clinical presentation. …”
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The Toulouse algorithm identifies patients with increased risk of cardiac decompensation only in patients with TIPS for refractory ascites by Emma Vanderschueren, Youri Bekhuis, Jan Clerick, Jappe Decock, Philippe Meersseman, Alexander Wilmer, Eveline Claus, Lawrence Bonne, Guido Claessen, Chris Verslype, Geert Maleux, Wim Laleman

“…Correspondingly, the Toulouse algorithm successfully identified patients at risk for CD, however only in the RA population (zero risk 0% vs. low risk 12.5% vs. high risk 35.3% with CD; p = 0.003). …”
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Ex-vivo validation of nine algorithms for quantifying infarcts with late gadolinium enhancement cardiovascular magnetic resonance by Sascha Kopic, Einar Heiberg, Henrik Engblom, Marcus Carlsson, David Nordlund, Robert Jablonowski, Mikael Kanski, Christos Xanthis, Sebastian Bidhult, Anthony H. Aletras, Håkan Arheden

“…Results: Clear differences in variance and bias were observed between algorithm-based methods, and no method performed optimally in this heterogeneous dataset where the best had a bias of −0.48±3.1, −0.3±4.4%, 2.3±4.2% left ventricle for EWA, FWHM, and FACT, respectively. …”
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Artificial Intelligence Dystocia Algorithm (AIDA) as a Decision Support System in Transverse Fetal Head Position by Antonio Malvasi, Lorenzo E. Malgieri, Tommaso Difonzo, Reuven Achiron, Andrea Tinelli, Giorgio Maria Baldini, Lorenzo Vasciaveo, Renata Beck, Ilenia Mappa, Giuseppe Rizzo

“…The predictive capabilities of three machine learning algorithms (Support Vector Machine, Random Forest, and Multilayer Perceptron) were assessed, and delivery outcomes were analyzed. …”
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Real-time Detection Algorithm of Expanded Feed Image on the Water Surface Based on Improved YOLOv11 by ZHOU Xiushan, WEN Luting, JIE Baifei, ZHENG Haifeng, WU Qiqi, LI Kene, LIANG Junneng, LI Yijian, WEN Jiayan, JIANG Linyuan

“…[Methods]The YOLOv11-AP2S model enhanced the YOLOv11 algorithm by incorporating a series of improvements to its backbone network, neck, and head components. …”
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Phonetic characteristics of spontaneous speech in a total laryngectomized Italian speaker: Perspectives for speech enhancement algorithms by Chiara Meluzzi, Sonia Cenceschi, Francesco Roberto Dani, Alessandro Trivilini

“…Our results show that our target speaker presents a low and rough voice, but his vowels are clearly differentiated. Furthermore, we find vocoid and air release to be extremely consistent in his acoustic characteristics during oesophageal phonation. …”
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Optimal transmission power selecting algorithm for cluster based ultra-wide bandwidth wireless sensor networks by PAN Gao-feng, FENG Quan-yuan

“…To solve the energy conservation and power control problem radically in the cluster based ultra wideband wireless sensor networks,an optimal transmission power selecting algorithm（OTPSA） was presented,the goal of which is,within the acceptable range of implementing cost,to get an optimal transmission power value based on the maximum transmission rate and the background noise level,as well as to achieve the required data transmission rate and to meet the energy conserving requirement to the greatest extent.The implementing feasibility,complexity and cost of the proposed algorithm have been analyzed and investigated in detail.The simulative results clearly show that the power consumed under OTPSA is greatly less than the maximum power gotten at each node,and can be regulated according to the fluctuation of the requirement of maximum rate and the background noise;sensor lifetime can also be prolonged by implementing the proposed scheme.Furthermore,the simulative results also indicate that the implementing cost of the presented algorithm is reasonable and acceptable.…”
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New Enhanced Artificial Bee Colony (JA-ABC5) Algorithm with Application for Reactive Power Optimization by Noorazliza Sulaiman, Junita Mohamad-Saleh, Abdul Ghani Abro

“…The performance results have clearly shown that the newly proposed algorithm has outperformed other compared algorithms in terms of convergence speed and global optimum achievement.…”
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Proper Global Shared Preference Detection Based on Golden Section and Genetic Algorithm for Affinity Propagation Clustering by Libin Jiao, Rongfang Bie, Guangzhi Zhang, Shenling Wang, Rashid Mehmood

“…Finally, satisfactory experiments using one simulation data set and eight benchmark data sets are performed to verify the effectiveness of the proposed algorithm. The results indicate that GS/GA-AP clearly outperforms the original AP clustering algorithm.…”
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Reliability Analysis of a Direct Shear Test of Modified Iron Tailings Based on the Monte Carlo Algorithm by Ping Jiang, Jian Qian, Na Li

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Application of Mask R-CNN and YOLOv8 algorithms for defect detection in printed circuit board manufacturing by Maurizio Calabrese, Leonardo Agnusdei, Gianmauro Fontana, Gabriele Papadia, Antonio Del Prete

“…PCB defect dataset released by Open Lab on Human–Robot Interaction of Peking University, HRIPCB) individuates appropriate classes of products and related defects for the context of interest, resulting in a suitable dataset for the performance evaluation of tested algorithms. The challenge of this specific application is the recognition of the component boundaries that have submillimetric dimensions and are not clearly identifiable. …”
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Applications of Metaheuristic Algorithms in Solar Air Heater Optimization: A Review of Recent Trends and Future Prospects by Jean De Dieu Niyonteze, Fumin Zou, Godwin Norense Osarumwense Asemota, Walter Nsengiyumva, Noel Hagumimana, Longyun Huang, Aphrodis Nduwamungu, Samuel Bimenyimana

“…Therefore, this paper clearly shows that the use of all six proposed metaheuristic algorithms results in significant efficiency improvements through the selection of the optimal design set and operating parameters for SAHs. …”
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Design of the optimal groundwater quality monitoring network using a genetic algorithm based optimization approach by Somaye Janatrostami, Ali Salahi

“…Materials and methods: Genetic optimization algorithm (GA) was used to search for optimal quality monitoring network. …”
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An optimal operation method for hydrogen refueling stations considering the electric energy-reserve-hydrogen coupling market environment by ZHOU Xin, CHEN Shun, TAN Hong, CHEN Daicai, RAN Menghong

“…The lower-level model comprises a two-stage clearing process： the first stage involves joint clearing of the energy， hydrogen， and reserve markets based on known bidding information of market participants； the second stage handles balancing market clearing under various load deviation scenarios. …”
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Generation and Classification of Novel Segmented Control Charts (SCC) Based on Hu’s Invariant Moments and the K-Means Algorithm by Roberto Baeza-Serrato

“…Finally, a grouping is made to classify the samples in clear and simple language as excellent, good, or regular using the k-means algorithm. …”
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