- Xiyue Guo, Huaguang Zhang, Jiayue Sun, Xin Liu:
Cooperative Control for Stochastic Multiagent Systems With Deferred Dynamic Constraints via a Novel Universal Barrier Function Approach. IEEE Trans. Cybern. 54(3): 1806-1815 (2024) - Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou, Rui Wang:
A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes. IEEE Trans. Evol. Comput. 28(1): 238-251 (2024) - Hao Ying, Feng Lin:
Identification of Single-Event Stochastic Fuzzy Discrete Event Systems: An Equation-Systems-Based Approach. IEEE Trans. Fuzzy Syst. 32(4): 2116-2128 (2024) - Huifang Min, Shang Shi, Hongyan Feng:
Adaptive stabilization of constrained stochastic nonlinear systems with input saturation: A combined BLF and NN approach. Trans. Inst. Meas. Control 46(8): 1520-1528 (2024) - Jianjie Yang, Yingyang Chen, Zhijian Lin, Daxin Tian, Pingping Chen:
Distributed Computation Offloading in Autonomous Driving Vehicular Networks: A Stochastic Geometry Approach. IEEE Trans. Intell. Veh. 9(1): 2701-2713 (2024) - Massoud Seifpour, Seyyed Amir Asghari, Mostafa Ghobaei-Arani:
A stochastic multi-objective optimization method for railways scheduling: a NSGA-II-based hybrid approach. J. Supercomput. 80(2): 2128-2163 (2024) - Kiarash Kazari, Farid Ashtiani, Mahtab Mirmohseni:
Cache Update and Delivery of Dynamic Contents: A Stochastic Game Approach. IEEE Trans. Mob. Comput. 23(4): 3035-3047 (2024) - Benedetta Picano, Romano Fantacci:
A Combined Stochastic Network Calculus and Matching Theory Approach for Computational Offloading in a Heterogenous MEC Environment. IEEE Trans. Netw. Serv. Manag. 21(2): 1958-1968 (2024) - Sasikala Subramaniam, Chee Peng Lim, Rajan Rakkiyappan, Mani Prakash:
Synchronization of Fractional Stochastic Neural Networks: An Event Triggered Control Approach. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 1113-1123 (2024) - Charles Wiame, Simon Demey, Luc Vandendorpe, Philippe De Doncker, Claude Oestges:
Joint Data Rate and EMF Exposure Analysis in Manhattan Environments: Stochastic Geometry and Ray Tracing Approaches. IEEE Trans. Veh. Technol. 73(1): 894-908 (2024) - Jingwei Zhao, Geng Li, Gaojie Chen, Qingqing Wu, Xingwang Li, Jianhua Zhang:
Covert Communication of IRS-Assisted Wireless Networks With Stochastic Geometry Approach. IEEE Wirel. Commun. Lett. 13(4): 974-978 (2024) - Jhanvi Garg, Xianyang Zhang, Quan Zhou:
Soft-constrained Schrödinger Bridge: a Stochastic Control Approach. AISTATS 2024: 4429-4437 - Jirí Mazurek, Ryszard Janicki:
A Hybrid Stochastic-Full Enumeration Approach to a Ranking Problem with Insufficient Information. CISS 2024: 1-6 - Aymene Selamnia, Lyes Khoukhi, Mondher Ayadi, Bouaziz Ahmed:
Securing IIoT Against DDoS attacks: A Stochastic Approach. GIIS 2024: 1-6 - Eduardo S. Finck, Sérgio Haffner, Bibiana P. Ferraz, Mariana Resener:
Stochastic Approach for Evaluating the Operation of Electric Power Distribution Systems. ISGT 2024: 1-5 - Jan Peleska, Felix Brüning, Mario Gleirscher, Wen-ling Huang:
A Stochastic Approach to Classification Error Estimates in Convolutional Neural Networks. CoRR abs/2401.06156 (2024) - Aron Brenner, Rahman Khorramfar, Dharik Mallapragada, Saurabh Amin:
Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach. CoRR abs/2401.10451 (2024) - Ian Covert, Chanwoo Kim, Su-In Lee, James Zou, Tatsunori Hashimoto:
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution. CoRR abs/2401.15866 (2024) - Zhiyuan Yao, Ionut Florescu, Chihoon Lee:
Control in Stochastic Environment with Delays: A Model-based Reinforcement Learning Approach. CoRR abs/2402.00313 (2024) - Haoran Zhao, Wayne Isaac Tan Uy:
GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes. CoRR abs/2402.02010 (2024) - Simone Rusconi, Elena V. Akhmatskaya, Dmitri Sokolovski, N. Ballard, J. C. de la Cal:
Relative frequencies of constrained events in stochastic processes: An analytical approach. CoRR abs/2402.06536 (2024) - P. V. Srihari, Bharath Bhikkaji:
Stochastic Approximation Approach to Federated Machine Learning. CoRR abs/2402.12945 (2024) - Aiqing Zhu, Qianxiao Li:
DynGMA: a robust approach for learning stochastic differential equations from data. CoRR abs/2402.14475 (2024) - Isabella Carla Gonnella, Moaad Khamlich, Federico Pichi, Gianluigi Rozza:
A stochastic perturbation approach to nonlinear bifurcating problems. CoRR abs/2402.16803 (2024) - Joseph E. McCarthy, Mathieu Dahan, Chelsea C. White III:
Dynamic Operational Planning in Warfare: A Stochastic Game Approach to Military Campaigns. CoRR abs/2403.00607 (2024) - Jhanvi Garg, Xianyang Zhang, Quan Zhou:
Soft-constrained Schrodinger Bridge: a Stochastic Control Approach. CoRR abs/2403.01717 (2024) - Jihun Han, Yoonsang Lee:
Stochastic approach for elliptic problems in perforated domains. CoRR abs/2403.11385 (2024) - Abhinab Bhattacharjee, Andrey A. Popov, Arash Sarshar, Adrian Sandu:
Improving the Adaptive Moment Estimation (ADAM) stochastic optimizer through an Implicit-Explicit (IMEX) time-stepping approach. CoRR abs/2403.13704 (2024) - Cheng Fang, Jinqiao Duan:
Stochastic parameter reduced-order model based on hybrid machine learning approaches. CoRR abs/2403.17032 (2024) - Mamadou Dia, Ghazaleh Khodabandelou, Alice Othmani:
A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews. CoRR abs/2403.19441 (2024)