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Applied Intelligence and Informatics : 4th International Conference, AII 2024, London, UK, December 18–20, 2024, Revised Selected Papers / / edited by Mufti Mahmud, M Shamim Kaiser, Joarder Kamruzzaman, Khan Iftekharuddin, Md Atiqur Rahman Ahad, Ning Zhong
| Applied Intelligence and Informatics : 4th International Conference, AII 2024, London, UK, December 18–20, 2024, Revised Selected Papers / / edited by Mufti Mahmud, M Shamim Kaiser, Joarder Kamruzzaman, Khan Iftekharuddin, Md Atiqur Rahman Ahad, Ning Zhong |
| Autore | Mahmud Mufti |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (754 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KaiserM. Shamim
KamruzzamanJoarder IftekharuddinKhan AhadAtiqur Rahman ZhongNing |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Social sciences - Data processing Education - Data processing Image processing - Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-032-04657-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Machine Learning Based Classification of Myopic Maculopathy. -- Alzheimer’s Detection using XAI in Capsule Network & Post Detection Management with Portable Solution. -- Machine Learning-Based Optimization of FireDepartment Interventions in Ain, Doubs, and Yvelines in France. -- Comparative Analysis of Machine Learning Algorithms for Breast Cancer Prediction Using PCA-Based Feature Reduction. -- Deep Learning Approaches in EEG Analysis for Early Detection of Alzheimer’s Disease and Mild Cognitive Impairment: A Mini Systematic Review. -- New Heuristics for Dominating Tree Problem. -- Semi-bidirectional RNNs: Making unidirectional RNNs as accurate as Bidirectional ones. -- A Comprehensive Study of Rainfall Prediction in Australia through Hybrid Machine Learning and Deep Learning Techniques. -- Feedforward Neural Network Assisted NILM Method Applied on Different Households and Appliance Groups with Selectable Balanced Data. -- Emotion Classification In-Context in Spanish. -- Multi-View Text Data Stream Clustering via Late Fusion. -- GalaFormer: towards unraveling of galaxy morphology. -- Explainable Boosting Machines for Lung Cancer Prediction and Explanation. -- Light Weight Graph Neural Network Models for PPG Signal Quality Assessment. -- Development of Machine Learning Models for EEG-Based Alzheimer’s Diagnosis. -- Electrocardiogram Signal Quality Assessment Using Deep Learning Model. -- Autism Rehabilitation with Meltdown Prediction Using Facial Expression and Hand Gesture Detection. -- Enhancing Alzheimer’s Disease Detection: A Hybrid Approach with CNNs and Vision Transformers. -- Multimodal Machine Learning for stress detection : A Revisit of Modality Selection. -- Application of AI and Informatics in Pattern Recognition. -- Utilising a novel multi-level multi-feature fusion approach to detect and diagnose Driver Fatigue in real-time. -- A Deep Learning based Potato Leaf Disease Detection System. -- Fijian ID Card Classification with Convolutional Neural Networks for Industrial Use. -- Two-Stage Tuning and Bayesian Optimization for the edRVFL Network. -- Shopping Recommendation Based on Profiling Customers Using Face Recognition and Association Rule Mining. -- Two robust statistical methods for describing textures in noisy images. -- Application of AI and Informatics in Network, Security and Analytics. -- Harvesting Insights: Unraveling Olive Dynamics and Climate Fluctuations through Regression and SHapley Additive explanations. -- Deep learning-based Image classification using segmented and superimposed leaf images. -- Enhancing Temporal Scoping in Knowledge Bases: Neural Network Approaches for Time Interval Incorporation Using Wikidata. -- Optimizing Lithium-ion Battery Recycling: Profits Unveiled through Explainable AI and Transportation Mode Analysis. -- Autonomous Rearranging Evaluation of a Room Based on Color Region Ratio. -- Development of a Machine Learning Classification Model for Improved Rainfall Prediction in Bangladesh. -- Forecasting Traffic Congestion Using Air Pollution Data: A Case Study of Casablanca, Morcco. -- A New Association Rule Mining Technique. -- A Privacy-Preserving Federated Learning Protocol for Multilayer Perceptrons. |
| Record Nr. | UNINA-9911031632003321 |
Mahmud Mufti
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part VII / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer
| Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part VII / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer |
| Autore | Mahmud Mufti |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (749 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
DoborjehMaryam
WongKevin LeungAndrew Chi Sing DoborjehZohreh TanveerM |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Pattern recognition systems Data Mining and Knowledge Discovery Machine Learning Automated Pattern Recognition |
| ISBN | 981-9665-94-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | LoTraNet: Locality-guided Transformer Network for Image Manipulation Localization -- Progressive EMD-based Trajectory Prediction: A Multistage Approach for Enhanced Human Trajectory Forecasting -- Dual-Level Contrastive Learning Framework -- DLAFormer: A Novel Approach to Image Super-Resolution with Comprehensive Attention Mechanisms -- Audio-Infused Automatic Image Colorization by Exploiting Audio Scene Semantics -- CoMISI: Multimodal Speaker Identification in Diverse Audio-Visual Conditions through Cross-Modal Interaction -- Multi-scale Spatial Feature Aggregation For Efficient Super Resolution -- SCANet: Split Coordinate Attention Network for Building Footprint Extraction -- XFusion: Cross-Attention Transformer for Multi-Focus Image Fusion -- Guided DiffusionDet: Guided Diffusion Model for Object Detection with Resample Mechanism -- Mutual Information-based Mixed Precision Quantization -- MLLM-Driven Semantic Enhancement and Alignment for Text-Based Person Search -- TFCM: Tuning-Free Facial Concept-Erasure in Text-to-Image Models through Attention and Sample Modulation -- Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled Data -- Knowledge Distillation with Differentiable Optimal Transport on Graph Neural Networks -- Test-Time Intensity Consistency Adaptation for Shadow Detection -- Learning from Noisy Labels for Long-tailed Data via Optimal Transport -- LCRPS: Large-Capacity Residual Plane Steganography Based on Multiple Adversarial Networks -- Aesthetics-Guided Multi-scale Feature Fusion for Style Transfer -- BEVRoad: A Cross-Modal and Temporary-Recurrent 3D Object Detector for Infrastructure Perception -- Dilated Pyramid Attention in Hierarchical Vision Transformer for Texture Recognition -- Attention-based Domain Adaptive YOLO For Cross-domain Object Detection -- In-WSOD: Integrality Weakly Supervised Object Detection with Classification and Localization Consistency -- GLEGNet: Infrared and Visible Image Fusion Via Global-Local Feature Extraction and Edge-Gradient Preservation -- Mending of Spatio-Temporal Dependencies in Block Adjacency Matrix -- CaDT-Net: A Cascaded Deformable Transformer Network for Multiclass Breast Cancer Histopathological Image Classification -- DIFA: Deformable Implicit Feature Alignment for Roadside Cooperative Perception -- Transferring Teacher’s Invariance to Student Through Data Augmentation Optimization -- AARR-Net: An Attention Assistance Feature Fusion and Model Recursive Recovery Network for Category-level 6D Object Pose Estimation -- BRS-YOLO: A Balanced Optical Remote Sensing Object Detection Method -- HDKI: A Hierarchical Deep Koopman Framework for Spatio-Temporal Prediction with Image Observations. |
| Record Nr. | UNISA-996668464603316 |
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Mahmud Mufti
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part X / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer
| Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part X / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer |
| Autore | Mahmud Mufti |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (654 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
DoborjehMaryam
WongKevin LeungAndrew Chi Sing DoborjehZohreh TanveerM |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Pattern recognition systems Data Mining and Knowledge Discovery Machine Learning Automated Pattern Recognition |
| ISBN | 981-9666-03-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | MMOTS: A Multi-UAV Pursuit-Evasion Game Training Strategy Relying on Offine Reinforcement Learning -- SMSF-Net: A Semantics-Driven Multiscale Selective Fusion Network for Object Detection in Remote Sensing Images -- Enhanced ResNet with Attention Mechanisms for High-Accuracy Wildlife Monitoring: A Case Study on Penguins and Turtles -- Area-part Composite Graph Guided Robot Manipulation Reasoning in 3C Assembly -- Multi-Sensor Fusion for Localization and Mapping in Complex Environments -- BNF: Bayesian Network Fusion for Multimodal Sentiment Analysis -- Driver Cognitive Distraction Detection Based on Eye Movement Behavior and Spatio-Temporal Information Fusion -- Nested Relation Extraction Using Direct or Indirect Relations Between Entities -- Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing -- SABE: Structure-Aware Boundary-Enhanced Network for Elementary Topic Unit Extraction in Dialogue -- Enhancing Prompt Tuning with Multitask Embedding Reparameterization -- STD: Using Self-attention Discriminators to Improve Speech Synthesis -- Automated Landslide Detection: A Comparative Study of Change Detection and Semantic Segmentation Techniques -- Leveraging LLMs to Enhance NLP Performance through Distillation and Optimized Training Strategies -- Adaptive Nearest Neighbor Sememe Tree Generation Model -- ”Flipped” University: LLM-Assisted Lifelong Learning Environment -- ResWCAE: Biometric Pattern Image Denoising -- PEDRO: Parameter-Efficient Fine-tuning with Prompt DepenDent Representation Modification -- SAP-BERT: BERT Inference Acceleration through Skip-layer and Adaptive Patient Early Exiting -- Diffusion-MPPI: Diffusion Informed Model Predictive Path Integral Method -- GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split Attention -- Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning -- MEIG: An Interactive Attention-Based Generative Model for Multimodal Event Extraction -- Advancing Respiratory Sound Classification: Integration of Audio Spectrogram Transformer with ConnectMix and NEFTune Augmentation -- Short-term Wind Power Prediction Based on CNN-Transformer -- HierFormer: A Multi-scale Attention Model for Ship Trajectory Prediction -- Enhanced Facial Emotion Detection Models Utilizing Geometry-Based Features for Superior Human-Computer Interaction -- Annotator Disagreement-based Analysis for Developing Bias Benchmark Datasets in Resource-Restricted Settings. |
| Record Nr. | UNISA-996668468903316 |
|
Mahmud Mufti
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part I / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer
| Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part I / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer |
| Autore | Mahmud Mufti |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (701 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
DoborjehMaryam
WongKevin LeungAndrew Chi Sing DoborjehZohreh TanveerM |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition systems
Data mining Machine learning Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning |
| ISBN | 981-9665-76-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Defend from Scratch: A Diffusion-based Proactive Defense Method for Unauthorized Speech Synthesis -- Transformers As Approximations of Solomonoff Induction -- Interpreting Decision Transformer: Insights from Continuous Control Tasks -- Flexible-order Feature-interaction for Mixed Continuous and Discrete Variables with Group-level Interpretability -- Critical Feature Sifting and Dynamic Aggregation for Anomalous Audio Sequence Detection -- Parallel Interpretation Network via Semantic Visual Probe and Counterfactual Verification -- Real-Time Decentralized M2M Decision-Making via Deep Learning and Incremental Learning -- Explainable Federated Stacking Models with Encrypted Gradients for Secure Kidney Medical Imaging Diagnosis -- DDFGNN: Dual-dimensionality Fusion Graph Neural Network for Social Bot Detection -- A Motif-based Graph Convolution Network for Stock Trend Prediction -- VAGNN: Advancing the Generalization of Graph Neural Networks -- TrajAngleNet: Transformer-based Trajectory Prediction through Multi-Task Learning with Angle Prediction -- Correlation Disentangling and Spatio-Temporal Cooperative Optimizing Network for Temperature Prediction Revision -- Hierarchical Adaptive Position Encoding-based Transformer for Point Cloud Analysis -- In-context Learning for Temperature Field Reconstruction under Multiple Layouts -- Loosely coupled oscillators as a correlate of behavioral control circuits within the central complex of the fruit fly -- EL-LSTM: A Multivariate Time Series Forecasting Model Combining Spiking Neurons and Long Short-Term Memory Networks -- A Two-Stage Network for Enhanced Intracranial Artery 3D Segmentation in TOF-MRA Volume -- Independence Constrained Disentangled Representation Learning from pistemological Perspective -- Utilizing Small and Large Spectral Radii for Appropriate Reservoir Computing Design -- Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise Injection -- LCNet: Lightning Hierarchical Convolution for Occupancy Flow Prediction -- FedTS: Leveraging Teacher-Student Architecture in Federated Learning against Model Heterogeneity in Edge Computing Scenarios -- Physics-informed antisymmetric recurrent neural networks for solving nonlinear partial differential equations -- APS: An Adaptive Policy Switching Framework to Improve the Generalization of Branching -- Efficient Pruning and Compression Techniques for Convolutional Neural Networks to Preserve Knowledge and Optimize Performance -- Enhancing Convnets with Pruning and Symmetry-Based Filter Augmentation -- Improved Approximation Algorithms for the Cumulative Vehicle Routing Problem. |
| Record Nr. | UNINA-9911009145803321 |
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Mahmud Mufti
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part V / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer
| Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part V / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer |
| Autore | Mahmud Mufti |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (794 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
DoborjehMaryam
WongKevin LeungAndrew Chi Sing DoborjehZohreh TanveerM |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition systems
Data mining Machine learning Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning |
| ISBN | 981-9665-88-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | cPER2P: Parameter-Efficient Single-cell LLM for Translated Proteome Profiles -- CRAFT: Consistent Representational Fusion of Three Molecular Modalities -- AMPCL: Adaptive Meta-Path Selection and Contrastive Learning for miRNA-Disease Prediction -- Video-Driven Comprehensive 3D Hip Joint Motion Model for FAI Auxiliary Diagnosis -- LungCANet: A Novel Deep Co-Attention Convolutional Neural Network Architecture for High-Precision Lung Cancer Morphological Analysis and Classification -- ATFN: An Efficient Multi-Modal Depression Assistance Diagnostic Model Based on Multi-Channel Attention Mechanism -- Domain Knowledge Based Temporal-spatial Graph Convolution Network for ECG Recognition -- Adaptive Constrained ICABMGGMM: application to ECG blind source separation -- CRA-Eformer: Cross-scale Residual Attention-based Edge-guide Transformer for Low-Dose CT Denoising -- Improving Text Representation for Disease Detection From Social Media via Self-augmentation and Contrastive Learning -- Improving Healthcare Outcomes by Identifying Populations with Higher Risk of Lung Cancer from Primary Care Data -- Split Learning on Multi-source Cross-streams -- Seizure Prediction based on Multi-scale Fusion-attention Transformer -- Dynamic Self-Attention Gated Spatial-Temporal Graph Convolutional Network for Skeleton-based Human Activity Recognition -- G-SwinHAR: Swin Transformer for Smartphone-Based Human Activity Recognition Using Gramian Angular Field -- Cross-feature Interactive Fusion for Speech Emotion Recognition -- Temporal-contextual Event Learning for Pedestrian Crossing Intent Prediction -- PoseRAC: Enhancing Repetitive Action Counting with Salient Poses -- Spatio-Temporal Graph Convolutional Networks for Pedestrian Trajectory Prediction -- Dual-branch StarNet with Mutual Attention and U-Net Denoising for Simultaneously Recognizing Keywords and Speakers -- Unsupervised Personalized Deep Learning for Wearable Human Activity Recognition -- The Role of AI in Optimizing Human-centered Complex Systems -- A Global Interactive and Bottleneck Fusion Model for Multi-Intent Spoken Language Understanding -- GloveTyping: A Hand Gesture Recognition System for Text Input Using a Hierarchical Framework with Attention Mechanism -- Impacts of Prompt Perturbation on Reducing Bias and Hallucination of Large Language Models -- A Multi-task Emotion Recognition Model based on Continuously Labeled EEG Signals -- MUR: Multimodal Unified Refinement for Multimedia Recommendation -- Identifying Misaligned Features for Cross-Domain Cold-start Recommendation -- Temporal Semantic Scoring Path aware Multi-Embedding Sequential Recommendation -- Online Labor Market Task Recommendation via Time-weighted Diffusion Model -- Multi-Pattern Joint Denoising Sequential Recommendation with Diffusion Model -- ProFetch: Accelerate Deep Recommendation System Training with Proactively Designed Data Layout and Dynamic Prefetching. |
| Record Nr. | UNINA-9911011645503321 |
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Mahmud Mufti
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||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part I / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer
| Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part I / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer |
| Autore | Mahmud Mufti |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (772 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
DoborjehMaryam
WongKevin LeungAndrew Chi Sing DoborjehZohreh TanveerM |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Pattern recognition systems
Data mining Machine learning Social sciences - Data processing Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning Computer Application in Social and Behavioral Sciences |
| ISBN | 981-9669-48-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911011657203321 |
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Mahmud Mufti
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part X / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer
| Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part X / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer |
| Autore | Mahmud Mufti |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (710 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
DoborjehMaryam
WongKevin LeungAndrew Chi Sing DoborjehZohreh TanveerM |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Pattern recognition systems
Data mining Machine learning Social sciences - Data processing Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning Computer Application in Social and Behavioral Sciences |
| ISBN | 981-9669-75-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911011656303321 |
|
Mahmud Mufti
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part II / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer
| Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part II / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer |
| Autore | Mahmud Mufti |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (772 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
DoborjehMaryam
WongKevin LeungAndrew Chi Sing DoborjehZohreh TanveerM |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition systems
Data mining Machine learning Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning |
| ISBN | 981-9665-79-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Network structure and recurrent dynamics achieved by maximizing information transfer and minimizing maintenance costs of the network -- Outlier-Robust Range-Based Method for Estimating the Location and Velocity of a Moving Source Using Lagrange Programming Neural Network -- Spatial Analysis Techniques in Recognition and Localization of Mouse Neuronal Activity -- ScaleMixer: A Multi-Scale MLP-Mixer Model for Long-Term Time Series Forecasting -- Application of Pseudometric Functions in Clustering and a Novel Similarity Measure Based on Path Information Discrepancy -- USAM-Net: A U-Net based network for improved stereo correspondence and scene depth estimation using features from a pre-trained image segmentation network -- TaW-PeRCNN:Time-adaptive Weights Physics-encoded Recurrent Convolutional Neural Network for Solving Partial Differential Equations -- An Explainable Error Detection Approach for Machine Learning -- T-GET3D: A Generative Model of High-Quality 3D Textured Shapes Guided by Texts -- Conformal Adversarial Generative Ensemble -- Virtual Command Allocation: Enhancing Hexapod Robot Locomotion through Goal-Conditioned Reinforcement Learning -- Adaptive Retrieval-based Gradient Planning for Offine Multi-context Model-based Optimization -- RBHAR: Role-Based Heterogeneous Action Representation in Multi-Agent Reinforcement Learning -- Deep mixtures of variational autoencoders model for representation learning and clustering tasks -- TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis -- Direct Correlational Spike-Timing-Dependent Plasticity Learning Applied to Classification Tasks -- Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function -- Dual Cross Fusion Deep-unfolding Transformer for Hyperspectral Image Reconstruction -- A weight averaging neural network for semi-supervised data stream learning -- obust Noise Tolerant Algorithm for Randomized Neural Network -- Tackling Periodic Distribution Shifts in Federated Learning with Half-cycle Knowledge Distillation -- Multi-Scale Attention Convolutional Network and Reinforcement Learning for Flexible Job Shop Scheduling -- Temporal State Prediction and Sequence Recovery for Multi-Agent Reinforcement Learning -- Data Augmentation with Variational Autoencoder for Imbalanced Dataset -- Performance Analysis of Quantum-Enhanced Kernel Classifiers Based on Feature Maps: A Case Study on EEG-BCI Data -- Certified Patch Defense via Dual Mask-Preservation Prediction -- Proximal Point Method for Online Saddle Point Problem -- Fast Preserving Local Distances and Topology in Auto-Encoders -- Neural Collapse Inspired Regularization for Deep Graph Neural Networks. |
| Record Nr. | UNINA-9911011660103321 |
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Mahmud Mufti
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part VIII / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer
| Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part VIII / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer |
| Autore | Mahmud Mufti |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (765 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
DoborjehMaryam
WongKevin LeungAndrew Chi Sing DoborjehZohreh TanveerM |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Data mining
Machine learning Pattern recognition systems Data Mining and Knowledge Discovery Machine Learning Automated Pattern Recognition |
| ISBN | 981-9665-96-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Generalized Multi-Scale Separable EPI Information for Light Field Image Super-Resolution -- ForgeryGPT: Cross-domain Face Forgery Detection using Large Vision-Language Models -- MFCA: Multimodal Object Detection based on Feature Calibration and Aggregation -- Omnidirectional Linear Attention Module for Penalty Shootout Video Understanding -- UOA-RCNN: detect anything with Unknown Object Aware RCNN -- WOODWIND: Few-shot Object Detector with Knowledge Distillation -- LITE: A Paradigm Shift in Multi-Object Tracking with Efficient ReID Feature Integration -- LSReGen: Large-Scale Regional Generator via Backward Guidance Framework -- AAFE-Net:Agent-Based Adaptive Feature Enhanced Network for Leather Defect Detection -- AA-RPN: Adaptive Anchor-based Region Proposal Network for Remote Sensing Object Detection -- Asterisk sparse convolutional networks for 3D object detection Shifted Window Fourier Transform And Retention For Image Captioning -- FOPS-V: Feature-Aware Optimization and Parallel Scale Fusion for 3D Human Reconstruction in Video -- PEBTrack: A Performance-Efficiency Balance Tracker for Aerial Scenario -- Multi-Scale Spatial-Angular Information Aggregation Network for Image Semantic Segmentation -- Enhancing Semi-Supervised Medical Image Segmentation with Asymmetric and Adversarial Cooperative Training -- Face Super-Resolution Using Covariation-Guided Orthonormalized Partial Least Squares -- SegDaemon: Actively Protecting Semantic Segmentation Models Against Intellectual Property Infringement -- Contrastive Diffusion Generative Adversarial Network for Generalized Zero-Shot Learning -- MASR: Efficient Multi-Attention Network For Single Image Super-Resolution -- YOLO-pdd: A Novel Multi-scale PCB Defect Detection Method Using Deep Representations with Sequential Images -- Correlation-Guided Image-to-Video Transfer Learning for Video Recognition -- Contrastive learning for free-view image compression network -- Enriching Degradation Features for Fundus Image Enhancement via Multi-colour Dynamic Filter Network -- -Code: Simple Temporal Latent Code for Efficient Dynamic View Synthesis -- A Semantic Segmentation Method for Skin Lesion Images Based on ViT -- Multi-scale Feature Edge Enhancement for Multi-view Stereo -- Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation -- How to Efficiently Use Color and Temporal Information for Video Understanding -- Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement -- BBLMixSTE:Barbell Tokenizer for Autism Spectrum Disorder Video Reconstruction. |
| Record Nr. | UNINA-9911009142603321 |
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Mahmud Mufti
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part V / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer
| Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part V / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer |
| Autore | Mahmud Mufti |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (688 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
DoborjehMaryam
WongKevin LeungAndrew Chi Sing DoborjehZohreh TanveerM |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Pattern recognition systems
Data mining Machine learning Social sciences - Data processing Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning Computer Application in Social and Behavioral Sciences |
| ISBN | 981-9669-60-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911011347903321 |
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Mahmud Mufti
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
