Showing 281 - 300 results of 1,556 for search 'partial algorithm', query time: 0.09s Refine Results
  1. 281

    MGL-YOLO: A Lightweight Barcode Target Detection Algorithm by Yuanhao Qu, Fengshou Zhang

    Published 2024-11-01
    “…Experimental results show that the proposed algorithm increases MAP50 and MAP50.95 by 2.57% and 2.31%, respectively, compared to YOLOv8, while reducing parameter size and computational cost by 36.21% and 34.15%, respectively. …”
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    Article
  2. 282

    An efficient algorithmic framework to minimize the summand matrix in binary multiplication by Amit Verma, Manish Prateek, Shiv Naresh Shivhare, Thipendra P. Singh, Anuj Kumar, Rakesh Ranjan, Rahul Priyadarshi

    Published 2025-10-01
    “…Binary multiplication is a key operation in digital systems, often limited by the complexity of generating and summing numerous partial products. Traditional methods, like Booth’s algorithm, produce a summand matrix proportional to the operand bit-length, increasing computational load, hardware usage and latency. …”
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  3. 283

    Underwater Object Detection Algorithm Based on an Improved YOLOv8 by Fubin Zhang, Weiye Cao, Jian Gao, Shubing Liu, Chenyang Li, Kun Song, Hongwei Wang

    Published 2024-11-01
    “…Due to the complexity and diversity of underwater environments, traditional object detection algorithms face challenges in maintaining robustness and detection accuracy when applied underwater. …”
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    Article
  4. 284

    Non-Profiled Partial Nibble Recovery on Power Attack Resilient Adiabatic PRESENT Block Cipher Through AI Vulnerability Assessment by Anjana Jyothi Banu, A. A.

    Published 2025-01-01
    “…Artificial Intelligence (AI) techniques, by eliminating the need for prior knowledge of cryptographic algorithms, have emerged as powerful tools for executing effective SCAs on secure implementations. …”
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  5. 285
  6. 286

    ALGORITHMIC SUPPORT OF INFORMATION PROCESSING IN THE VOLUNTEER CENTER MANAGEMENT SYSTEM by E. A. Ilina, Y. V. Kocherzhinskaya, N. A. Dyakonov, V. A. Dyatlovskiy

    Published 2022-08-01
    “…The results of the development of algorithmic support for the project "Automated Information System of the Volunteer Center" are presented, the purpose of which is to obtain a multifunctional tool for planning and distribution of human and time resources, by partially automating the work of employees and the head of the volunteer center "At the Call of the Heart".…”
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  7. 287

    Cognitive radio auto-adaptive sensing algorithm based on POMDP by Rui-chen XU, Ting JIANG

    Published 2013-06-01
    “…In order to design an appropriate spectrum sensing mechanism in millisecond spectrum hole environment,the optimal data transmission time of secondary users was derived to maximize the data throughput.Furthermore,in order to exploit the millisecond spectrum holes,an auto-adaptive spectrum sensing algorithm based on POMDP (partially observ-able Markov decision process) was proposed.This algorithm executes spectrum sensing or data transmission action in the current decision epoch based on the belief vector and the observation result in the last decision epoch.Simulation results show that the proposed algorithm can constrain the collision probability between primary users and secondary users,and improve systemic spectrum utilization at the same time.…”
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  8. 288

    A Comparison of Heuristic Algorithms for Solving the Traveling Salesman Problem by Younes Khdeir, Ahmed Awad

    Published 2024-09-01
    “…This paper presents a comparison between four popular algorithms: steepest ascent hill climbing, simulated annealing, genetic algorithm with partially matched crossover, and Particle Swarm Optimization (PSO). …”
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  9. 289

    An Evolutionary Algorithm for Solving Academic Courses Timetable Scheduling Problem by Israa Abdulameer Abduljabbar, Sura Mahmood Abdullah

    Published 2022-04-01
    “… Scheduling Timetables for courses in the big departments in the universities is a very hard problem and is often be solved by many previous works although results are partially optimal. This work implements the principle of an evolutionary algorithm by using genetic theories to solve the timetabling problem to get a random and full optimal timetable with the ability to generate a multi-solution timetable for each stage in the collage. …”
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  10. 290

    A fast algorithm for constructing suffix arrays for DNA alphabets by Zeinab Rabea, Sara El-Metwally, Samir Elmougy, Magdi Zakaria

    Published 2022-07-01
    “…The continuous improvement of sequencing technologies has been paralleled by the development of efficient algorithms and data structures for sequencing data analysis and processing. …”
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  11. 291

    CT imaging features and diagnostic algorithm for hepatic cystic echinococcosis by Hao Zhang, Li Zhang, Chi Zhang, Yan-hao Zhu, Yi-en Hong, Lin Li, Li Lai

    Published 2025-03-01
    “…Imaging findings were correlated with pathological results. A diagnostic algorithm was developed and validated, with inter-observer agreement assessed using Fleiss kappa coefficient. …”
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  12. 292

    Partial Discharge Type Identification of 10 kV T-Type Terminal Based on Empirical Mode Decomposition and Deep Convolution Neural Network by Shude Cai, Chunhua Fang, Yongyu Guo, Jialiang Liu, Gu Zhou

    Published 2025-04-01
    “…Compared with the traditional random forest algorithm (RF), the 10 kV T-type terminal partial discharge type recognition method based on EMD–DCNN is considered in this paper. …”
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  13. 293

    Estimating Leaf Chlorophyll Fluorescence Parameters Using Partial Least Squares Regression with Fractional-Order Derivative Spectra and Effective Feature Selection by Jie Zhuang, Quan Wang

    Published 2025-02-01
    “…Among the feature selection algorithms, the least absolute shrinkage and selection operator (LASSO) and stepwise regression (Stepwise) methods outperformed others. …”
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  14. 294

    Overlapping Box Suppression and Merging Algorithms for Window-Based Object Detection by Kos Aleksandra

    Published 2025-09-01
    “…To address this, the proposed OBS algorithm uses the detection window coordinates to effectively filter out redundant partial detections, improving detection quality. …”
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  15. 295

    A colonic polyps detection algorithm based on an improved YOLOv5s by Jianjun Li, Jinhui Zhao, Yifan Wang, Jinhui Zhu, Yanhong Wei, Junjiang Zhu, Xiaolu Li, Shubin Yan, Qichun Zhang

    Published 2025-02-01
    “…With the rapid development of artificial intelligence technology, the early diagnosis rate of colonic polyps achieves greater clinical efficacy for colon cancer by applying target detection algorithms to colonoscopy images. This paper presents two outcomes achieved through the application of the improved YOLOv5s algorithm with annotated microscopy images of clinical cases and publicly available polyp image data: (1) enhancement of the C3(Cross Stage Partial Networks) module with multiple layers to C3SE(Cross Stage Partial Networks with Squeeze-and-Excitation) via the attention mechanism SE (squeeze-and-excitation) and (2) fusion of higher-level features utilizing BiFPN (the weighted bi-directional feature pyramid network). …”
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  16. 296

    HYBRID GENETIC ALGORITHM VERSUS PSO FOR TRACKING THE MPP OF PV MODULE by Sabin POPESCU

    Published 2018-05-01
    “…Classical algorithms for maximum power point tracking (MPPT) are not difficult to implement and provide accurate enough results and speed under normal conditions. …”
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  17. 297

    Optimal Layout of Sensors on Wind Turbine Blade Based on Combinational Algorithm by Guimei Gu, Yu Zhao, Xin Zhang

    Published 2016-02-01
    “…In order to avoid information redundancy caused by partial concentration of test spots, Euclidean distance was introduced as the iteration condition of algorithm. …”
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  18. 298

    PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

    Published 2022-11-01
    “…Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
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  19. 299

    PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

    Published 2022-11-01
    “…Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
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    Article
  20. 300

    Learning tensor networks with tensor cross interpolation: New algorithms and libraries by Yuriel Núñez Fernández, Marc K. Ritter, Matthieu Jeannin, Jheng-Wei Li, Thomas Kloss, Thibaud Louvet, Satoshi Terasaki, Olivier Parcollet, Jan von Delft, Hiroshi Shinaoka, Xavier Waintal

    Published 2025-03-01
    “…In particular, we show that replacing the cross interpolation by the partially rank-revealing LU decomposition yields a more stable and more flexible algorithm than the original algorithm. …”
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