Results 91 to 100 of about 18,204 (266)

Comparison of The Accuracy of K-Nearest Neighbor and Roberta Algorithm in Analysis of Sentiment on Miawaug Youtube Channel Comments

open access: yesTeknika
This study aims to evaluate the accuracy of two algorithms, K-Nearest Neighbor (KNN) and Robustly Optimized BERT Approach (RoBERTa), in analyzing sentiment within comments on MiawAug’s YouTube channel.
Fachrudin Okta Rahmawan   +2 more
doaj   +1 more source

Cyclodextrin‐Functionalized Light‐Driven Cu2O Micromotors for Simultaneous Capture and Degradation of Bisphenol A

open access: yesAdvanced Robotics Research, EarlyView.
Fuel‐free Cu2O‐based micromotors functionalized with β‐cyclodextrin actively remove bisphenol A from water under visible light. The cyclodextrin shell captures BPA and enhances micromotor motility, leading to faster degradation and higher overall removal than nonfunctionalized Cu2O and Cu2O@Au.
Luisa Natalia Cordoba Urresti   +3 more
wiley   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

open access: yesAdvanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder   +3 more
wiley   +1 more source

Improving sentiment classification using a RoBERTa-based hybrid model. [PDF]

open access: yesFront Hum Neurosci, 2023
Semary NA   +4 more
europepmc   +1 more source

Consensus Formation and Change are Enhanced by Neutrality

open access: yesAdvanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag   +3 more
wiley   +1 more source

Multimodal Sentiment Classifier Framework for Different Scene Contexts

open access: yesApplied Sciences
Sentiment analysis (SA) is an effective method for determining public opinion. Social media posts have been the subject of much research, due to the platforms’ enormous and diversified user bases that regularly share thoughts on nearly any subject ...
Nelson Silva   +2 more
doaj   +1 more source

Underground Signals: The Ecological Power of Root Volatiles

open access: yesAdvanced Science, EarlyView.
Root volatiles mediate rhizosphere chemical communication, shaping interactions among plants, microbes, herbivores, and natural enemies. Their production, transport, and perception underpin ecological adaptation, multitrophic interactions, and plant resilience, offering opportunities for sustainable crop protection, resilient agroecosystems, and ...
Xueyao Cao   +31 more
wiley   +1 more source

Lexicon‐based fine‐tuning of multilingual language models for low‐resource language sentiment analysis

open access: yesCAAI Transactions on Intelligence Technology
Pre‐trained multilingual language models (PMLMs) such as mBERT and XLM‐R have shown good cross‐lingual transferability. However, they are not specifically trained to capture cross‐lingual signals concerning sentiment words.
Vinura Dhananjaya   +2 more
doaj   +1 more source

Boosting ChatGPT Sentiment Classification with Stacking and Majority Voting on Skewed Data

open access: yesVietnam Journal of Computer Science
In the field of natural language processing (NLP), sentiment analysis is very important for comprehending user views and opinions. By using the Kaggle ChatGPT sentiment analysis dataset, this work investigates the use of sophisticated ensemble machine ...
Dharmaraj R. Patil
doaj   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

open access: yesAdvanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai   +3 more
wiley   +1 more source

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