Suchergebnisse - Performance Keywords Deterministic algorithms

Development and validation of predictive models for unplanned hospitalization in the Basque Country: analyzing the variability of non-deterministic algorithms von Olza, Alexander, Millán, Eduardo, Rodríguez-Álvarez, María Xosé

“… the performance of a logistic regression model and three families of machine learning models. Methods Using age, sex, diagnoses and drug prescriptions previously transformed by the Johns Hopkins Adjusted Clinical Groups (ACG …”
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Soft Actor-Critic for Navigation of Mobile Robots von de Jesus, Junior Costa, Kich, Victor Augusto, Kolling, Alisson Henrique, Grando, Ricardo Bedin, Cuadros, Marco Antonio de Souza Leite, Gamarra, Daniel Fernando Tello

“… ) that is compared with the Deep Deterministic Policy Gradients (DDPG) algorithm in the same situation …”
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Graph Matching by Simplified Convex-Concave Relaxation Procedure von Liu, Zhi-Yong, Qiao, Hong, Yang, Xu, Hoi, Steven C. H.

“… The convex and concave relaxation procedure (CCRP) was recently proposed and exhibited state-of-the-art performance on the graph matching problem …”
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Applied Machine Learning

“… This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of …”
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Certificateless Searchable Encryption With Trapdoor Unlinkability for Industrial Internet of Things von Sun, Lixue, Xu, Chunxiang, Zhang, Xiaojun, Zeng, Fugeng

“… However, existing CLSE schemes do not achieve the trapdoor unlinkability since deterministic algorithms are used to generate the trapdoors …”
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Elevator-First: A Deadlock-Free Distributed Routing Algorithm for Vertically Partially Connected 3D-NoCs von Dubois, F., Sheibanyrad, A., Pétrot, F., Bahmani, M.

“… In this paper, we propose a distributed routing algorithm for vertically partially connected regular 2D topologies of different shapes and sizes (e.g …”
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Fuzzy clustering validity for contractor performance evaluation: Application to UAE contractors von Nassar, Khaled, Hosny, Ossama

“… This paper presents a framework for classifying contractors using five of the most common clustering algorithms and assesses their performance with appropriate validity measures …”
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Optimal sizing of a residential microgrid in Egypt under deterministic and stochastic conditions with PV/WG/Biomass Energy integration von Gamil, Mahmoud M., Lotfy, Mohammed Elsayed, Hemeida, Ashraf M., Mandal, Paras, Takahashi, Hiroshi, Senjyu, Tomonobu

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5 White Matter Tract Shape as a Predictor of PTSD Symptom Severity in Trauma-Exposed Black American Women von Haller, Olivia C, King, Tricia Z, Ma, Xin, Fani, Negar, Kundu, Suprateek

“… Objective:Machine learning studies of PTSD show promise for identifying neurobiological signatures of this disorder, but studies to date have largely excluded …”
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An assessment of algorithms for deriving failure deterministic finite automata von Nxumalo, Madoda, Kourie, Derrick G., Cleophas, Loek, Watson, Bruce W.

“… A first suite of test data consists of DFAs that recognise randomised sets of finite length keyword …”
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A Privacy-preserving Fuzzy Search Scheme Supporting Logic Query over Encrypted Cloud Data von Fu, Shaojing, Zhang, Qi, Jia, Nan, Xu, Ming

“… ). To this end, we propose a new secure multi-keyword fuzzy search scheme for encrypted cloud data, our scheme leverages random redundancy method to handle the deterministic of bloom filter to resist SNMF attack …”
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A Modified ALOS Method of Path Tracking for AUVs with Reinforcement Learning Accelerated by Dynamic Data-Driven AUV Model von Wang, Dianrui, He, Bo, Shen, Yue, Li, Guangliang, Chen, Guanzhong

“… Moreover, the widely used line of sight (LOS) algorithm with fixed lookahead distance does not perform well because it requires an urgent need for the automatic adjustment of the parameter …”
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A Systematic Review of Energy Management Systems for Battery/Supercapacitor Electric Vehicle Applications von Wangsupphaphol, Aree, Phichaisawat, Sotdhipong, Nik Idris, Nik Rumzi, Jusoh, Awang, Muhamad, Nik Din, Lengkayan, Raweewan

“… The strength and co-occurrence of keywords over the past ten years are shown in this study using a systematic research framework for performing a literature review and using keyword analysis techniques …”
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Securing Communication Networks at the Physical Layer: A DRL and Phase Optimization Approach von Kamal, Mian Muhammad, Abideen, Syed Zain Ul, Sharafian, Amin, Ibrahim, Anwar Hassan, Islam, Muhammad, Habib, Shabana

“… ‐time control of the RIS phase shifts is enabled through a deep deterministic policy gradient (DDPG …”
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Real-Time Swing-up of a Linear Inverted Pendulum Using Reinforcement Learning von BAJRAMI, Xhevahir, KAÇIU, Fisnik, SHALA, Erjon, LIKAJ, Rame

“… ) algorithm to effectively control a Single Inverted Pendulum (SIP) system. The primary objective was to improve the algorithm's performance by addressing common challenges such as overestimation of Q-values and convergence to local optima …”
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Learning physics-consistent particle interactions von Han, Zhichao, Kammer, David S, Fink, Olga

“… However, most existing algorithms focus on learning the kinetics at the particle level. Learning pairwise interaction, e.g …”
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Fuzzy Wavenet (FWN) classifier for medical images von Walid .A. Mahmoud, Dr.A. barsoum, Entather Mahos

“…   In this work we proposed a fuzzy wavenet network (FWN), which learns by common back-propagation algorithm to classify medical images …”
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Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning von Gudhe, Naga Raju, Kosma, Veli-Matti, Behravan, Hamid, Mannermaa, Arto

“… Background The deterministic deep learning models have achieved state-of-the-art performance in various medical image analysis tasks, including nuclei segmentation from histopathology images …”
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Uncertainty CNNs: A path to enhanced medical image classification performance von Papageorgiou, Vasileios E., Petmezas, Georgios, Dogoulis, Pantelis, Cordy, Maxime, Maglaveras, Nicos

“… Numerous deterministic deep learning (DL) methods have been developed to serve as reliable medical imaging tools, with convolutional neural networks (CNNs …”
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MCOIN: a novel heuristic for determining transcription factor binding site motif width von Kilpatrick, Alastair M, Ward, Bruce, Aitken, Stuart

“… . The ability to compute the most likely width of a motif is therefore a highly desirable property for motif discovery algorithms …”
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