Results 131 to 140 of about 151,967 (341)

Research and Analysis of IndoBERT Hyperparameter Tuning in Fake News Detection

Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)
The rapid advancement of communication technology has transformed how information is shared, but it has also brought concerns about the proliferation of false information.
A. Simanjuntak, Rosni Lumbantoruan, Kartika Sianipar, Rutmiarta Gultom, Mario Simaremare, Samuel Indra Gunawan Situmeang, Erwin Panggabean   +6 more
semanticscholar   +1 more source

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

Object Detection with Hyperparameter and Image Enhancement Optimisation for a Smart and Lean Pick-and-Place Solution

Signals
Pick-and-place operations are an integral part of robotic automation and smart manufacturing. By utilizing deep learning techniques on resource-constraint embedded devices, the pick-and-place operations can be made more accurate, efficient, and ...
Elven Kee, Jun Jie Chong, Zi Jie Choong, Michael Lau   +3 more
doaj   +1 more source

Tinker: Hyperparameter Optimization Tool

, 2018
Machine learning models can learn to recognize subtle patterns in complex data, making them useful in a wide variety of regression and classification tasks.
Price, Kurt
core  

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Comparison of gridsearchcv and bayesian hyperparameter optimization in random forest algorithm for diabetes prediction

Journal of Soft Computing Exploration
Diabetes Mellitus (DM) is a chronic disease whose complications have a significant impact on patients and the wider community. In its early stages, diabetes mellitus usually does not cause significant symptoms, but if it is detected too late and not ...
Rini Muzayanah, D. Pertiwi, Muazam Ali, M. Muslim   +3 more
semanticscholar   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

Hyperparameter configuration

A complete tabulation of F_1 (macro) scores obtained per target over hyperparameter grid ...
Simone J. Skeen
core   +1 more source

A Hybrid Brain Stroke Prediction Framework: Integrating Feature Selection, Classification, and Hyperparameter Optimization

Engineering Reports
Stroke is a leading cause of death and disability worldwide, requiring accurate and early prediction to ensure timely medical intervention. This study proposes a hybrid system that combines optimal feature selection and advanced classification techniques
Mohammad Amin, Khalid M. O. Nahar, Hasan Gharaibeh, Rabia Emhamed Al Mamlook, Ahmad Nasayreh, Nesrine Atitallah, Ali Gharaibeh, Raneem Hamad, Raed Abu Zitar, Aseel Smerat, Laith Abualigah   +10 more
doaj   +1 more source

Exploration-Driven Genetic Algorithms for Hyperparameter Optimisation in Deep Reinforcement Learning

Applied Sciences
This paper investigates the application of genetic algorithms (GAs) for hyperparameter optimisation in deep reinforcement learning (RL), focusing on the Deep Q-Learning (DQN) algorithm.
Bartłomiej Brzęk, Barbara Probierz, Jan Kozak   +2 more
doaj   +1 more source