:: Library Catalog

Ata uhi

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Kaituhi matua:	Wang, Yu Tian
Hōputu:	Recurso digital
Reo:	Ingarihi
I whakaputaina:	Zenodo 2025
Ngā marau:	Federated learning, differential privacy, Adaptive noise scaling, Privacy-utility trade-off, Convolutional neural networks
Urunga tuihono:	https://doi.org/10.5281/zenodo.19367290
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite

Shallow Neural Networks for Channel Estimation in Multi-Antenna Systems
mā: Kumar D.R., me ētahi atu.
I whakaputaina: (2023)

Enhanced deepfake detection using an ensemble of convolutional neural networks
mā: Ralhen, Yeeshu, me ētahi atu.
I whakaputaina: (2025)

A constrained convolutional neural network with attention mechanism for image manipulation detection
mā: Hamidja, Kamagate Beman, me ētahi atu.
I whakaputaina: (2025)

A comparative study of CNN architectures for the detection of tomato leaf diseases
mā: Soumia, Benkrama, me ētahi atu.
I whakaputaina: (2025)

Enhancing low-light pedestrian detection: convolutional neural network and YOLOv8 integration with automated dataset
mā: Rendi, me ētahi atu.
I whakaputaina: (2025)

AUTOEUS: Smart Detection of Gastrointestinal Abnormalities Using Lightweight Deep Learning
mā: Done. Rama Shanthi*, I. Kullayamma
I whakaputaina: (2025)

Ensemble of convolutional neural network and DeepResNet for multimodal biometric authentication system
mā: Kailas, Ashwini, me ētahi atu.
I whakaputaina: (2025)

Global coseismic deformation dataset derived from InSAR
mā: Yi, Yaning, me ētahi atu.
I whakaputaina: (2026)

Automatic 3D Segmentation and Identification of Anomalous Aortic Origin of the Coronary Arteries Combining Multi-view 2D Convolutional Neural Networks
mā: Pascaner, Ariel Fernando, me ētahi atu.
I whakaputaina: (2025)

Detection of location-specific intra-cranial brain tumors
mā: Shola, Usharani, me ētahi atu.
I whakaputaina: (2025)

FORMULATING ETHICAL PRINCIPLES FOR THE USE OF AI IN ADAPTIVE LEARNING ENVIRONMENTS
mā: Chidinma Obianuju, Eze, me ētahi atu.
I whakaputaina: (2025)

An Efficient Convolutional Neural Network to Detect and Count Blood Cells
mā: Rakesh Chandra Joshi
I whakaputaina: (2022)

Learning the therapeutic use of drugs from the three-dimensional spatial information of their molecular structure with convolutional neural networks
mā: Jorge Mario Martínez-Conde
I whakaputaina: (2021)

Privacy Vulnerabilities in Multi-Cloud Machine Learning: Five Integrated Theoretical Frameworks for Systematic Understanding, Assessment, and Mitigation
mā: Tahchiev, Andrean
I whakaputaina: (2026)

Hybrid artificial intelligence approach to counterfeit currency detection
mā: Monther Tarawneh
I whakaputaina: (2025)

Efficient Modelisation for Complex Geometries of Tumor Growth via Thermo-Elastic Diffusion Partial Differential Equations and Artificial Neural Networks - Figure 2. Dynamics of tumor geometry: the existence of a bifurcation point behaviour giving the treatment prognostic is a strong a priori argument of PDE modelling
mā: Manana Chumburidze, me ētahi atu.
I whakaputaina: (2025)

Imitation of the human upper limb by convolutional neural networks
mā: Paula, Useche Murillo, me ētahi atu.
I whakaputaina: (2025)

Multimodal recognition with deep learning: audio, image, and text
mā: Gummula, Ravi, me ētahi atu.
I whakaputaina: (2025)

Artificial Neural Networks for Classification Tasks: A Systematic Literature Review
mā: Eduardo Molina Menéndez
I whakaputaina: (2024)

Deep Learning for Peripheral Blood Smear Interpretation
mā: P. Shobana
I whakaputaina: (2025)

Differentially Private KV-Cache Transmission for Split LLM Inference
mā: Yu, Renjie
I whakaputaina: (2026)

@akhyar11/ml-v1: A Native TypeScript Machine Learning Library
mā: Muhammad, Akhyar
I whakaputaina: (2026)

The Infinite Model
mā: Hobe-Gelting, Victor, me ētahi atu.
I whakaputaina: (2026)

Chapter Multi-Robot Federated Edge Learning Framework for Efficient Coordination and Information Management in Smart Construction
mā: Liu, Xinqi, me ētahi atu.
I whakaputaina: (2024)

Supplementary dataset for paper: "Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling"
mā: Clement, Mihaela-Larisa, me ētahi atu.
I whakaputaina: (2026)

Towards Scalable NILM: AI-Integrated Edge Devices for Sustainable Energy Management
mā: Danish Abdullah
I whakaputaina: (2025)

When the state of the art is ahead of the state of understanding: unintuitive properties of deep neural networks
mā: Joan Serrà
I whakaputaina: (2019)

Open Traffic Data for Future Service Innovation – Addressing the Privacy Challenges of Driving Data
mā: Anna Rohunen
I whakaputaina: (2014)

Dataset for "Robust Deep Learning-Based Downscaling of Mean and Extreme Precipitation over the Indian Subcontinent"
mā: Murukesh, Midhun
I whakaputaina: (2026)

MODELLING TOURISM DEMAND TO SPAIN WITH MACHINE LEARNING TECHNIQUES. THE IMPACT OF FORECAST HORIZON ON MODEL SELECTION
mā: OSCAR CLAVERIA
I whakaputaina: (2016)

BiGRU-CNN neural network applied to short-term electric load forecasting
mā: Lucas Duarte Soares
I whakaputaina: (2022)

Emergence Without Scale: Inductive Resonance and Invariant Dynamics in Tiny Recurrent Networks
mā: Giebelhaus, M. Axel
I whakaputaina: (2025)

Anaemia detection from conjunctiva images using deep learning
mā: S Janardhan Jayanth, me ētahi atu.
I whakaputaina: (2025)

A constructive algorithm for unsupervised learning with incremental neural network
mā: Jenq-Haur Wang
I whakaputaina: (2015)

Pattern Recognition for the Identification of Learning Styles on Educational Mobile and Social Network Tools
mā: Ramón Zatarain Cabada
I whakaputaina: (2011)

An intelligent system for heart disease diagnosis using regularized deep neural network
mā: P. Rani
I whakaputaina: (2023)

Soliton-Inspired Machine Learning Architectures
mā: Novickis, Alexander
I whakaputaina: (2026)

Soliton-Inspired Machine Learning Architectures
mā: Novickis, Alexander
I whakaputaina: (2026)

Neural Networks Based Domain Adaptation in Spectroscopic Sky Surveys
mā: Podsztavek, Ondřej
I whakaputaina: (2020)

Development of A New E-Learning Platform That Provides A Learning Path Recommendation
mā: Raveena Kumari, me ētahi atu.
I whakaputaina: (2021)