Results 141 to 150 of about 208,635 (216)

Named Entity Recognition Menggunakan Metode Bidirectional Lstm-Crf Pada Teks Bahasa Indonesia

open access: yes, 2019
Named Entity Recognition (NER) atau pengenalan entitas bernama adalah salah satu bagian atau tugas dari natural language processing (nlp). Tujuan dari NER adalah untuk mengidentifikasi atau mengklasifikasi sebuah entitas misalnya nama orang, organisasi ...
Permana, Hadi
core  

Advancing Long‐Term Energy Demand Forecasting: A PRISMA‐Guided Systematic Review of AI and Econometric Models

open access: yesApplied Research, Volume 5, Issue 5, October 2026.
Through a PRISMA‐guided review of 42 studies, this work compares deep learning, ensemble machine learning, and statistical/econometric models for long‐term energy demand forecasting, showing that model choice should balance accuracy, interpretability, data availability, and policy relevance.
Nor Afiza Mohd Noor   +4 more
wiley   +1 more source

A Critical Analysis of Optimization Algorithms for Cultural Heritage Conservation and Management

open access: yesEngineering Reports, Volume 8, Issue 10, October 2026.
Methodological framework and decision‐support roadmap for optimization algorithms in cultural heritage conservation and management. ABSTRACT Heritage buildings symbolize cultural identity, architectural character, and historical epitome of communities.
Eslam Mohammed Abdelkader   +6 more
wiley   +1 more source

Spatial feature recognition and layout method based on improved CenterNet and LSTM frameworks

open access: yesETRI Journal
Existing spatial feature recognition and layout methods primarily identify spatial components manually, which is time-consuming and inefficient, and the constraint relationship between objects in space can be difficult to observe.
Yuxuan Gu   +4 more
doaj   +1 more source

Vehicle Destination Prediction Using Bidirectional LSTM with Attention Mechanism. [PDF]

open access: yesSensors (Basel), 2021
Casabianca P   +3 more
europepmc   +1 more source

Analysis of Student Performance Prediction Using the Bi‐LSTM Technique Focused on the Indian Higher Education Context Using a Synthetic Dataset

open access: yesEngineering Reports, Volume 8, Issue 10, October 2026.
A Nadam‐optimized Bi‐LSTM framework integrates multi‐level student and institutional data to predict academic performance with 92.5% accuracy. The approach captures bidirectional temporal patterns and enables scalable, data‐driven early warning systems and targeted interventions in higher education. ABSTRACT Student performance prediction is a critical
Sudhindra B. Deshpande   +5 more
wiley   +1 more source

A Comprehensive Review of GAN‐CNN Hybrid Methods for Intelligent Fault Diagnosis of Rotating Machinery

open access: yesEngineering Reports, Volume 8, Issue 10, October 2026.
This paper reviews recent advances in hybrid deep learning for intelligent fault diagnosis of rotating machinery, focusing on GAN‐ and CNN‐based architectures and their specialized variants. Hybrid GAN‐CNN methods are categorized into three groups: (1) optimized original GANs with CNN variants, (2) improved GAN architectures integrated with CNNs, and ...
Temesgen Tadesse Feisa   +7 more
wiley   +1 more source

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