Results 41 to 50 of about 42,654 (268)
The advancement of clinical natural language processing systems is crucial to exploit the wealth of textual data contained in medical records. Diverse data sources are required in different languages and from different sites to represent global health ...
Salvador Lima-López +7 more
doaj +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Pada penelitian ini dilakukan identifikasi virus avian influenza (AI) subtipe H5N1 pada unggas dan lingkungan pasar untuk mengetahui peran pasar sebagai sumber penularan virus.
Atik Ratnawati, NLP Indi Dharmayanti
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The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Multiple-choice benchmarks are widely used to assess LLMs, yet their accuracy scores often conflate memorization—understood as pattern-based recall—with genuine reasoning, that is, inference beyond surface pattern transfer, especially when ...
Eva Sanchez Salido +2 more
doaj +1 more source
Comparative Analysis of Long Short-Term Memory Architecture for Text Classification
Text classification which is a part of NLP is a grouping of objects in the form of text based on certain characteristics that show similarities between one document and another. One of methods used in text classification is LSTM.
Moh Fajar Abdillah, Kusnawi Kusnawi
doaj +1 more source
NLP-ADBench: NLP Anomaly Detection Benchmark
Anomaly detection (AD) is an important machine learning task with applications in fraud detection, content moderation, and user behavior analysis. However, AD is relatively understudied in a natural language processing (NLP) context, limiting its effectiveness in detecting harmful content, phishing attempts, and spam reviews.
Yuangang Li 0002 +6 more
openaire +3 more sources
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Natural Language Processing and Complex Network based Tourism Social Big Data Analysis [PDF]
Unlike traditional research methods such as questionnaire surveys and individual interviews, this article proposes a big data based analytical framework for tourism research.
Yin Lijie
doaj +1 more source

