País de los laboratorios · puesto 39 mundial
Investigación en IA: Malasia
Artículos localizados
254
Este mes
0
−100 % frente al mes anterior
Materias tratadas
124
Esta página solo cubre los 254 artículos con al menos un laboratorio atribuido a este país, entre el 3 de noviembre de 2025 y el 18 de agosto de 2026. No es toda la producción del país.
Se trata del país del laboratorio, nunca de la nacionalidad de las personas. Un artículo cofirmado desde varios países cuenta en cada uno de ellos. La cobertura es parcial y el vacío no es aleatorio: un investigador cuya institución se desconoce suele publicar poco, lo que sobrerrepresenta a los laboratorios consolidados.
Volúmenes por dominio
En qué trabaja este país: Malasia
Los temas y asuntos no se inventan aquí: cada artículo se vincula a la clasificación de OpenAlex, el catálogo abierto que indexa la investigación científica mundial (jerarquía dominio › campo › tema › asunto). Haz clic en un tema para desglosarlo en sus principales asuntos.
Expresiones al alza - últimos 30 días
Señales emergentes
Las expresiones que aparecen mucho más a menudo de lo habitual en los artículos de este país. Como el corpus nacional es mucho más pequeño que el mundial, el umbral de selección es proporcional a su volumen: los porcentajes son más nerviosos y un término puede subir con unos pocos artículos.
Ninguna señal calculada - el flujo de detección de picos aún no se ha ejecutado.
Materias más activas - 12 meses
Trayectorias
Asuntos procedentes de la clasificación científica de OpenAlex.
Multimodal Machine Learning Applications
Visión
Large Language Models
IA
Advanced Neural Network Applications
Visión
Generative Adversarial Networks and Image Synthesis
Visión
3D Shape Modeling and Analysis
Computational Mechanics
AI in cancer detection
IA
Advanced Graph Neural Networks
IA
Reinforcement Learning in Robotics
IA
20 artículos más recientes
Últimas ingestas
| Artículo | Resumen | Tema | Asunto |
|---|---|---|---|
| Decoupled Temporal Encoding for Generative Recommendation 18 de agosto de 2026 | Positional encoding is a fundamental component of Transformer-based generative recommendation models, where user histories are modeled as autoregressive item sequences. Most… | Sist. de info. | Recommender Systems and Techniques |
| Learning Varying Physical Therapist-Patient Interactions for Robot-mediated Upper Limb Task-Specific Training 18 de agosto de 2026 | Upper extremity motor function recovery is positively linked to Task-Specific Training (TST) and sufficient therapy dosage. Rehabilitation robots can increase TST dosage via… | Biomedical Engineering | Muscle activation and electromyography studies |
| PERO: Efficient Robust Post-Training Foundation Models for Encrypted Traffic Classification 18 de agosto de 2026 | Encrypted traffic classification is vital for network security, yet real-world deployments are inherently sensitive to rare but high-loss errors such as misclassification of… | IA | Internet Traffic Analysis and Secure E-voting |
| EA-LiteUNet: An Edge-Adaptive and Resource-Efficient U-Net for Boundary-Sensitive Dermoscopic Image Segmentation 18 de agosto de 2026 | Accurate boundary delineation remains a persistent challenge in dermoscopic image segmentation because of blurred lesion margins, heterogeneous textures, and complex background… | Oncology | Cutaneous Melanoma Detection and Management |
| TRIAGE: Risk-Controlled Pseudo-Label Admission for Annotation-Efficient Semi-Supervised Retinal OCT Classification 17 de agosto de 2026 | The advanced retinal disease diagnosing imaging modality, optical coherence tomography (OCT), encounters a lack of automation because of the high expenses for annotations… | Radiology, Nuclear Medicine and Imaging | Retinal Imaging and Analysis |
| MRBench: A Comprehensive Benchmark for Human Motion-Text Retrieval 11 de agosto de 2026 | Human motion-text retrieval provides a rigorous means of assessing cross-modal alignment. Prevailing benchmarks are dominated by homogeneous indoor motions, imbalanced motion… | Automática | Human Motion and Animation |
| SciQNet: Two-Stage Multimodal Adaptation for Scientific Image Quality Assessment 7 de agosto de 2026 | Scientific images are essential for communicating experimental observations, quantitative evidence and conceptual knowledge. Unlike natural images, their quality depends on both… | Visión | Multimodal Machine Learning Applications |
| MedPRESS: A Multi-turn Benchmark for Patient-Pressure-Induced Medical Sycophancy in LLMs 4 de agosto de 2026 | Large language models (LLMs) are increasingly used for health-related advice. Existing research measures their safety with static questions rather than pressured patient-facing… | IA | Machine Learning in Healthcare |
| Two-Stage Bengali Sentiment Classification: Domain Adaptation Through Continual Learning and Parameter-Efficient Fine-Tuning 4 de agosto de 2026 | Understanding sentiment in low-resource languages remains a key challenge for Natural Language Processing (NLP), particularly when domain-specific data is scarce. In this work, we… | IA | Sentiment Analysis and Opinion Mining |
| Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied Control 30 de julio de 2026 | World generative models are typically used through what they produce: a rendered future, a video-conditioned action, or latent context computed by a costly generative branch. We… | Visión | Generative Adversarial Networks and Image Synthesis |
| Scoping Review of AI, Metrology, and ESG in the Semiconductor Sector: Implications for Safe and Sustainable by Design (SSbD) 28 de julio de 2026 | The semiconductor sector faces a dual transition: scaling manufacturing execution through Artificial Intelligence (AI) while satisfying stringent sustainability mandates, such as… | Industrial and Manufacturing Engineering | Digital Transformation in Industry |
| When Does Knowledge Distillation Hurt? Reliability-Aware Distillation for Low-Resource Language Summarization 23 de julio de 2026 | Knowledge distillation (KD) is a standard approach for compressing sequence-to-sequence models, but its per-sample effects are rarely examined. On the BanSum Bangla summarization… | IA | Large Language Models |
| OLEDLM: A Unified Language Model for OLED Molecular Design 23 de julio de 2026 | The development of organic light-emitting diode (OLED) materials faces the compounded challenges of an astronomically large chemical space, stringent quantum-chemical constraints,… | Electrónica | Organic Light-Emitting Diodes Research |
| DobicVLM: Aligning Chest X-Ray Report Generation with Clinically-Grounded Programmatic Rewards via Group Relative Policy Optimization 22 de julio de 2026 | Medical imaging is a cornerstone of diagnostics, yet automated chest X-ray report generation struggles with structural adherence, anatomical completeness, and semantic… | Radiology, Nuclear Medicine and Imaging | COVID-19 diagnosis using AI |
| AniGS: Bridging Rendering and Diffusion Prior for 3D Scene Animation 22 de julio de 2026 | Novel view rendering of large and complex reconstructed scenes is becoming increasingly photorealistic. However, most reconstructions remain static and lack the ambient motion… | Computer Graphics and Computer-Aided Design | Computer Graphics and Visualization Techniques |
| Fenced Citation-Context Retrieval for Case Law: Temporal Leakage and Degree Control Across Two Jurisdictions 21 de julio de 2026 | Prior case retrieval (PCR) aims to identify the precedent cases relevant to the facts of a query case. Incoming citation context, the text with which later cases characterize a… | Political Science and International Relations | Artificial Intelligence in Law |
| Multimodal Attention-based Deep Learning for Emergency Triage with Electronic Health Records 21 de julio de 2026 | Accurate emergency triage decision is critical to avoid clinical deterioration, morbidity, and mortality. Machine learning-based triage system involves acquiring the main… | Emergency Medicine | Emergency and Acute Care Studies |
| Learning Spatio-Temporal Foundation Models from Pure Synthetic Data 21 de julio de 2026 | Spatio-Temporal Foundation Models (STFMs) aim to learn generalizable representations of complex dynamical systems across space and time. However, existing approaches suffer from… | Visión | Generative Adversarial Networks and Image Synthesis |
| A Multi-Agent System for 5G Throughput Prediction in Multi-Operator Urban Environments 21 de julio de 2026 | Throughput prediction is foundational for artificial intelligence-driven 6G resource orchestration. Conventional monolithic machine learning models struggle to generalize across… | Electrónica | Advanced Data and IoT Technologies |
| Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition 21 de julio de 2026 | Sensor-based human activity recognition (HAR) has achieved significant progressed in fully supervised learning settings. However, these supervised learning models rely on large… | Visión | Context-Aware Activity Recognition Systems |
Países de los laboratorios - últimos 90 días
Otros países
La clasificación mundial tal como aparece en el dashboard. Haz clic en otro país para abrir su página.
- Estados Unidos38 % · 26.375 artículos
- China33 % · 22.828 artículos
- Reino Unido7,5 % · 5251 artículos
- Alemania7,2 % · 4984 artículos
- India4,6 % · 3181 artículos
- Canadá4,5 % · 3159 artículos
- Francia4,1 % · 2865 artículos
- Corea del Sur4,1 % · 2859 artículos
- RAE de Hong Kong (China)3,2 % · 2247 artículos
- Japón3,2 % · 2234 artículos
- Australia3,1 % · 2160 artículos
- Italia2,9 % · 1987 artículos
- Singapur2,8 % · 1952 artículos
- Suiza2,3 % · 1611 artículos
Haz clic en un país para ver solo su investigación
Sobre 69.649 artículos con al menos un laboratorio localizado, es decir 76 % de los 91.354 artículos completamente procesados entre 27 de octubre de 2025 y 21 de agosto de 2026. 167 países representados.
Se trata del país del laboratorio, nunca de la nacionalidad de las personas. Un artículo firmado desde varios países cuenta para cada uno de ellos, por lo que las partes suman más del 100 %. La cobertura es parcial y el vacío no es aleatorio: un investigador cuya institución se desconoce suele publicar poco, lo que sobrerrepresenta a los laboratorios consolidados.
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