Results 31 to 40 of about 144,760 (267)

TINGKAT KECEMASAN MATEMATIS MAHASISWA DALAM MENGIKUTI PEMBELAJARAN ONLINE

Aksioma: Jurnal Program Studi Pendidikan Matematika, 2021
Penelitian deskriptif kualitatif ini dilakukan dengan tujuan untuk mendeskripsikan tingkat kecemasan matematis mahasiswa dalam mengikuti pembelajaran online dibandingkan dengan pembelajaran offline.
Agung Putra Wijaya, Nurain Suryadinata, Tia Agnesa   +2 more
doaj   +1 more source

Offline Equilibrium Finding

CoRR, 2022
Offline reinforcement learning (offline RL) is an emerging field that has recently begun gaining attention across various application domains due to its ability to learn strategies from earlier collected datasets. Offline RL proved very successful, paving a path to solving previously intractable real-world problems, and we aim to generalize this ...
Li, Shuxin, Wang, Xinrun, Zhang, Youzhi, Cerny, Jakub, Li, Pengdeng, Chan, Hau, An, Bo   +6 more
openaire   +2 more sources

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

Review of Online and Soft Computing Maximum Power Point Tracking Techniques under Non-Uniform Solar Irradiation Conditions

Energies, 2020
Significant growth in solar photovoltaic (PV) installation has been observed during the last decade in standalone and grid-connected power generation systems. However, the PV system has a non-linear output characteristic because of weather intermittency,
Amjad Ali, K. Almutairi, Muhammad Zeeshan Malik, Kashif Irshad, Vineet Tirth, Salem Algarni, Md. Hasan Zahir, Saiful Islam, Md Shafiullah, Neeraj Kumar Shukla   +9 more
doaj   +1 more source

Offline Trajectory Optimization for Offline Reinforcement Learning

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2
Accepted at SIGKDD ...
Ziqi Zhao, Zhaochun Ren, Liu Yang, Yunsen Liang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin   +8 more
openaire   +2 more sources

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Sample strategy based on TD-error for offline reinforcement learning

工程科学学报, 2023
Offline reinforcement learning uses pre-collected expert data or other empirical data to learn action strategies offline without interacting with the environment.
Longfei ZHANG, Yanghe FENG, Xingxing LIANG, Shixuan LIU, Guangquan CHENG, Jincai HUANG   +5 more
doaj   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Uncoolness factor of collaborative Web Mining Tools (WMT)

International Journal of Interactive Multimedia and Artificial Intelligence, 2009
The recent development of social mining is a useful and direct analogy to talking about the less visible part of the adoption of successive waves of social software.
Juan Luis Chulilla Cano, Pilar Azagra
doaj