Results 81 to 90 of about 18,004 (194)

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, Volume 13, Issue 56, 9 October 2026.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Perbandingan Kinerja Word Embedding dalam Analisis Sentimen Ulasan Pengguna Aplikasi Perjalanan

JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Traveloka, sebagai salah satu platform pemesanan perjalanan terkemuka, telah mencapai lebih dari 50 juta unduhan di Google Play Store. Pencapaian ini menunjukkan tingginya minat dan kepercayaan pengguna terhadap layanan yang ditawarkan.
Muhammad Agung Maugi Pahendra, Siska Anraeni, Lutfi Budi Ilmawan   +2 more
doaj   +1 more source

Sentiment Analysis of Imbalanced Dataset Through Data Augmentation and Generative Annotation Using DistilBERT and Low‐Rank Fine‐Tuning

Applied AI Letters, Volume 7, Issue 3, October 2026.
The proposed model takes an imbalanced English dataset as input and balances it by Generating Synthetic Tweets (GST) using GPT‐based paraphrasing. These new tweets are then annotated with one of 10 categorical labels representing their primary meaning, using another large language model like GPT.
Hossein Nekouei, Mohammad Hossein Moattar   +1 more
wiley   +1 more source

BiLSTM training and verification errors of different layers.

, 2023
BiLSTM training and verification errors of different layers.
Xiaohua Zeng (793632), Jieping Cai (13262351), Chiping Yuan (13262357), Changzhou Liang (13262354)   +3 more
core   +1 more source

Hierarchical Text Classification: Fine-tuned GPT-2 vs BERT-BiLSTM

Applied Computer Systems
Hierarchical Text Classification (HTC) is a specialised task in natural language processing that involves categorising text into a hierarchical structure of classes. This approach is particularly valuable in several domains, such as document organisation,
Bouchiha Djelloul, Bouziane Abdelghani, Doumi Noureddine, Hamzaoui Benamar, Boukli-Hacene Sofiane   +4 more
doaj   +1 more source

Classification and Visualization Model of Stunting Zone Distribution Using Artificial Intelligence and Streamlit Approaches

JOIV: International Journal on Informatics Visualization
Time series datasets enable automated classification processes. Machine Learning (ML) and Deep Learning (DL) models are Artificial Intelligence (AI) models that allow systems to make intelligent decisions automatically.
Tjut Awaliyah Zuraiyah, Nurdina Widanti, Yamato Yamato, Andi Chairunnas, Kriti Mauludin, Bira Arya Setha   +5 more
doaj   +1 more source

Detection of Bangla AI‐Generated Texts Using a Quantum Kernel Support Vector Machine

Applied AI Letters, Volume 7, Issue 3, October 2026.
Fluent AI‐generated text is increasingly hard to tell from human writing and detection tools lag far behind for low‐resource languages such as Bangla. This work presents, to our knowledge, the first quantum‐kernel Support Vector Machine (QSVM) for detecting AI‐generated Bangla text.
Md. Siam Ansary
wiley   +1 more source

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

Applied 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, Mohamad Fani Sulaima, Mohd Khairil Rahmat, Norhafiza Mohamad, Hazlie Mokhlis   +4 more
wiley   +1 more source

HYDRABOOST: A MULTI-CLASS INTRUSION DETECTOR USING SPATIAL AND TEMPORAL FEATURE ENHANCED CLASSIFICATION [PDF]

Proceedings on Engineering Sciences
As technology advances at a quick pace and the Internet of Things (IoT) becomes more widely used, cyberattacks have become more frequent and sophisticated, creating serious security issues.
Kamaljit Singh Saini , Sumit Chaudhary
doaj   +1 more source

Interpreting Non‐Linear Compaction Mechanics of Expansive Soils Using Reliability Calibrated Framework

Applied Research, Volume 5, Issue 5, October 2026.
This study introduces a reliability‐calibrated machine learning framework to predict the maximum dry density and optimum moisture content of heterogeneous soils. By integrating 15 algorithms with conformal prediction, the models deliver accurate compaction estimates alongside rigorous, distribution‐free 90% confidence intervals.
Farjad Aziz, Muhammad Waseem, Zeeshan Asghar, Megersa Kebede Leta   +3 more
wiley   +1 more source