yusuke1997/dblp-id-title huggingface dataset:
GSMT: An explainable semi-supervised multi-label method based on Gower distance
Design, implementation and evaluation of a Fiber To The Home (FTTH) access network based on a Giga Passive Optical Network GPON
Mamba-caption: Long-range sequence modelling for efficient and accurate image captioning
Enhancing the robustness of CNN-based lung cancer detection models against label-flipping poison attacks using defensive distillation
Accurate industrial anomaly detection with efficient multimodal fusion
Addressing agricultural challenges: An identification of best feature selection technique for dragon fruit disease recognition
Forecasting loan, deferred rate and customer segmentation in banking industry: A computational intelligence approach
Advancements in spiking neural network communication and synchronization techniques for event-driven neuromorphic systems
Hybrid and adaptive framework for secure and scalable authentication in healthcare IoT
Joint Multiple Fine-grained feature for Vehicle Re-Identification
IMG CAT : An approach to dismantle the anonymity of a source camera using correlative features and an integrated 1D convolutional neural network
Signal processing techniques for motor imagery brain computer interface: A review
Federated learning for human activity recognition: Balancing privacy, efficiency, and accuracy through innovative aggregation techniques
Effective depression detection and interpretation: Integrating machine learning, deep learning, language models, and explainable AI
Clustering microbial material on agar plates: A modular system approach
Distribution systems techno-economic performance optimization through renewable energy resources integration
Under- and over-segmentation: New metrics for image segmentation accuracy measurement
Security challenges to smart agriculture: Current state, key issues, and future directions
Autonomous UAV navigation using deep learning-based computer vision frameworks: A systematic literature review
Zero-knowledge proofs for anonymous authentication of patients on public and private blockchains
Transforming ERP systems with collaborative AI: Paving the path to strategic growth and sustainability
A survey of deep reinforcement learning application in 5G and beyond network slicing and virtualization
Threat intelligence named entity recognition techniques based on few-shot learning
Blockchain-IoMT-enabled federated learning: An intelligent privacy-preserving control policy for electronic health records
Efficient crowd anomaly detection using C3D-LSTM networks with enhanced attention mechanisms
Sentiment analysis on Bangla text using extended lexicon dictionary and deep learning algorithms
Training a language model to learn the syntax of commands
Associations between mobility patterns and COVID-19 deaths during the pandemic: A network structure and rank propagation modelling approach
5G radio access networks: A survey
Editorial: Opening up computer science
A comparison of online methods for change point detection in ion-mobility spectrometry data
FED-GEM-CN: A federated dual-CNN architecture with contrastive cross-attention for maritime radar intrusion detection
Exploring the role of generative AI in enhancing cybersecurity in software development life cycle
Prediction of the number of COVID-19 confirmed cases based on K-means-LSTM
VDTformer: A transformer-based framework for accurate deformation risk detection in cable tunnels
A comprehensive framework for hand gesture recognition using hybrid-metaheuristic algorithms and deep learning models
Machine learning applications in detecting sand boils from images
A comparative study of machine learning and deep learning models in binary and multiclass classification for intrusion detection systems
Vulnerability of blockchain technologies to quantum attacks
ZKNiS-PoW: A privacy-preserving proof of ownership scheme for secure cloud storage
Removal of multiple artifacts from ECG signal using cascaded multistage adaptive noise cancellers
A Comprehensive review on 5G-based Smart Healthcare Network Security: Taxonomy, Issues, Solutions and Future research directions
Enhancing cybersecurity by generating user-specific security policy through the formal modeling of user behavior
Vehicular LTE connectivity analysis in urban and rural environments using USRP measurements
GreenBERT: A lightweight green transformer for automated prediction of software vulnerability scores
TCP DCERL+: Improving congestion control in mobile ad hoc networks
Attention-enhanced DenseNet for robust solar cell defect detection in electroluminescence imaging
Improved Deep Multi-Patch Hierarchical Network For Handling Saturation In Image Deblurring
Efficient and explainable MRI brain tumor classification via Adaptive GAN-based data augmentation
Design of a GenAI UX layer with small language models for edge computing in smart agriculture
Deep reinforcement learning for gearshift controllers in automatic transmissions
A neighbor pixel modelled ROI for mammogram classification
Application of Artificial Immune Systems in Advanced Manufacturing
Challenge-response PIN authentication system to withstand shoulder surfing and recording attacks
Facilitating rapid prototyping in the distributed data analytics platform OODIDA via active-code replacement
D4I - Digital forensics framework for reviewing and investigating cyber attacks
A novel lossy image compression algorithm using multi-models stacked AutoEncoders
Real-time risk assessment of road vehicles based on inverse perspective mapping
From vulnerability to resilience: Adversarial training and real-time detection for AI security
Blockchain based context-aware CP-ABE schema for Internet of Medical Things security
Improving test suite generation quality through machine learning-driven boundary value analysis
Explainable deep learning-based meta-classifier approach for multi-label classification of retinal diseases
Unsupervised anomaly detection with memory bank and contrastive learning
Explaining evolving outliers for uncovering key aspects of the green comparative advantage
A systematic review of meta-heuristic algorithms in IoT based application
Road scene classification based on street-level images and spatial data
A survey on the formalisation of system requirements and their validation
Algorithms for optimizing fleet staging of air ambulances
A comparative study of supervised machine learning approaches to predict patient triage outcomes in hospital emergency departments
Deep autoencoder-based fuzzy c-means for topic detection
Transformer-based deep learning models for the sentiment analysis of social media data
Objects recognition from traffic video data using improved 2D convolutional stochastic configuration networks
A novel approach for visual and semantic image reconstruction from brain activity
Multi-task deep learning for simultaneous prediction of steel purity and carbon capture rate using membrane separation technology in integrated steelmaking processes
KPN-anonymity: Extension of K-anonymity for user anonymity evaluation on web applications
Diffusion-based low-light image enhancement with Kolmogorov-Arnold Networks (KANs)
Breaking the Complexity Barrier: Enhancing Quality of Service in Simultaneous Multithreading Processors
A scalable k-medoids clustering via whale optimization algorithm
Power reserve control strategy of PV system for active power reserve under dynamic shading patterns
Formalization and evaluation of EAP-AKA' protocol for 5G network access security
FPGA-based ML adaptive accelerator: A partial reconfiguration approach for optimized ML accelerator utilization
Eye tracking technologies to visualize secure coding behavior
Using deep learning techniques and genetic-based feature extraction for presentation attack mitigation
Vehicle detection on roads based on Yolov5 with multi-scale feature fusion
A real-valued DCT-based spectral CNN architecture for efficient edge deep learning
Visual SLAM algorithms and their application for AR, mapping, localization and wayfinding
Capturing low-rate DDoS attack based on MQTT protocol in software Defined-IoT environment
Efficient alignment-based average delay time estimation in fluctuating delayed propagation
Smart tourism: State of the art and literature review for the last six years
UDGS-SLAM: UniDepth Assisted Gaussian Splatting for Monocular SLAM
A comparative study of operational engineering for environmental and compute-intensive applications
Privacy protection in steel supply chain via blockchain and attribute-based proxy re-encryption
Nonlinear anisotropic diffusion methods for image denoising problems: Challenges and future research opportunities
A novel Intrusion Detection System against spoofing attacks in connected Electric Vehicles
ELVSR: An efficient and lightweight convolutional neural network for FPGA-based FHD to UHD video super-resolution
Stock price prediction with attentive temporal convolution-based generative adversarial network
Big Data: Hadoop framework vulnerabilities, security issues and attacks
Metric-based defect prediction from class diagram
Industrial control system device classification using network traffic features and neural network embeddings
LDAM: A lightweight dual attention module for optimizing automotive malware classification
Proactive detection of cyber-physical grid attacks: A pre-attack phase identification and analysis using anomaly-based machine learning models
Revival of Muslin by Phuti Karpas plant identification with convolution neural network
Adaptive multimodal user interface techniques for mobile augmented reality: Frameworks, modalities and user interaction
A comparative study of YOLOv5 and YOLOv8 for corrosion segmentation tasks in metal surfaces
Correspondenceless scan-to-map-scan matching of 2D panoramic range scans
Process pattern and process capability evaluation model for interoperability in learning object environments
Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues
BGPCN: A BERT and GPT-2-based Relational Graph Convolutional Network for hostile Hindi information detection
Kinetic modelling and simulation of anaerobic digestion of fibrous waste materials and slaughterhouse waste
Salient object contour extraction based on pixel scales and hierarchical convolutional network
Process-monitoring-for-quality - A machine learning-based modeling for rare event detection
Utilizing machine learning for transformer relative aging rate prediction based on aging parameters
Real-time adaptive neural network-based state of charge prediction of battery pack in a digital twin framework
Long short-term memory neural networks for forecasting sea level and seiche occurrences in the Maltese Islands
Intelligent vehicle environment perception algorithm based on bubble sort data processing and data fusion
Special issue "Deep Learning for Natural Language Processing: Emerging methods and applications"
Towards the design of a particle swarm optimization ontology for object classification
An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images
APIE: An information extraction module designed based on the pipeline method
Cyberspace attack and defense game based on reward randomization reinforcement learning
Contrastive text embeddings with effective sample mining for enhanced disease diagnosis
An improved deep learning approach for automated detection of multiclass eye diseases
Collaborative path optimization model of power material supply chain based on hash index spatio-temporal graph neural network
SAD: Self-assessment of depression for Bangladeshi university students using machine learning and NLP
Machine-learning-driven feature importance analysis for guiding the protonic ceramic fuel cell manufacturing
RelayGAN: Sequential knowledge propagation for sustainable multi-generation
Humidity and temperature monitoring using Raspberry Pi via RS232 networking
Privacy impact assessments in the wild: A scoping review
An improved face recognition algorithm and its application in attendance management system
Terminal independent security token derivation scheme for ultra-dense IoT networks
Severity classification and disposition prediction using ensemble learning for home-based patient management with adequate decision making
An empirical comparison of the security and performance characteristics of topology formation algorithms for Bitcoin networks
Spatio-temporal aggregation of skeletal motion features for human motion prediction
Node co-activations as a means of error detection - Towards fault-tolerant neural networks
Machine learning based approach for shape memory polymer behavioural characterization
MHS-Net: A multi-scale heterogeneous synergistic network for single image deraining
DiffViT-IBFD: A rolling bearing fault diagnosis approach based on diffusion model and vision transformer under data imbalance conditions
Mutual superimposing of SAR and ground-level shooting images mediated by intermediate multi-altitude images
MobDenseNet: A hybrid deep learning model for brain tumor classification using MRI
Computational Time Reduction in Stream Field Navigation Through Dynamic Path Search and Selection in Kinematic Environments
FPGA technology in healthcare: A comprehensive review of hardware and software solutions for diagnostics, imaging, and patient care
An appropriate discrete-transformation technique for order reduction methodology
Indian Sign Language recognition system using SURF with SVM and CNN
Parkinson's disease diagnosis: The effect of autoencoders on extracting features from vocal characteristics
An efficient team prediction for one day international matches using a hybrid approach of CS-PSO and machine learning algorithms
Machine learning models to predict desktop activity recognition based on low-point gaze features
Multi-scale signal-to-noise driven fusion of post-processing sequences for enhanced defect detectability in active infrared thermography
Leveraging Artificial Intelligence Technology for Mapping Publications to Sustainable Development Goals
Improved VIDAR and machine learning-based road obstacle detection method
Research on sentiment analysis of hotel review text based on BERT-TCN-BiLSTM-attention model
An encrypted traffic identification method based on multi-scale feature fusion
MAB-RSP: Data pricing based on Stackelberg game in MCS
DAFNet: A dual-path attention fusion network for EEG emotion recognition via CNN and graph-based global modeling
Recognition of road cracks based on multi-scale Retinex fused with wavelet transform
A review: Deep learning for medical image segmentation using multi-modality fusion
FDLSTM: A satellite orbit prediction model with frequency-domain feature fusion
DeepEva: A deep neural network architecture for assessing sentence complexity in Italian and English languages
Program execution summarization by novel design pattern specification, detection, and consolidation techniques
Volitional control of upper-limb exoskeleton empowered by EMG sensors and machine learning computing
Smart system for real time monitoring and diagnosis of dengue surfaces in Bangladesh
Optimal weights and Heuristic Meta-Models: Learning-based multi-model strategies for energy forecasting
A comprehensive review of explainable AI for disease diagnosis
Collaborative optimization by shared objective function data
A multi-objective parameter-tuned soft computing-based algorithm to optimize competitive congested location-pricing problem within multi-type service
Automatic leaf segmentation and overlapping leaf separation using stereo vision
Tabu search-based fleet scheduling of air ambulances for disaster response
Adaptive multi-scale spatio-temporal convolutional network with reinforcement learning for dynamic lane-level traffic flow prediction
OrchID: Explainable deep learning for Ophrys orchid biodiversity monitoring
Optimizing student engagement in edge-based online learning with advanced analytics
Combining a multi-feature neural network with multi-task learning for emergency calls severity prediction
A∗-plus path planning algorithm for large-scale grid maps
Target tracking in Internet of Things using reinforcement learning
Analyzing the public sentiment on COVID-19 vaccination in social media: Bangladesh context
Vehicle egocentric object trajectory tracking system
Evaluation of recurrent neural networks as epileptic seizure predictor
From challenges to metrics: An LLM-driven DevOps recommendation system grounded in evidence-based mappings
DART: A Solution for decentralized federated learning model robustness analysis
RAFT: Robust Adversarial Fusion Transformer for multimodal sentiment analysis
CE-Fed: Communication efficient multi-party computation enabled federated learning
Generative and self-supervised domain adaptation for one-stage object detection
Enhanced small-scale APT knowledge graph embedding via spatio-temporal attribute reasoning and adversarial negative sampling
Analyzing temporal graphs of malware distribution networks
Influence of data amount, data type and implementation packages in GPU coding
An integrated complaint management system based on large language models: Case study in the electric sector
How statistical modeling and machine learning could help in the calibration of numerical simulation and fluid mechanics models? Application to the calibration of models reproducing the vibratory behavior of an overhead line conductor
Two-stage copula-driven, structure-aware gene selection for single-cell analysis
An automated license plate detection and recognition system based on wavelet decomposition and CNN
An integrated clustering method for pedagogical performance
STATOS: A portable tool for secure malware analysis and sample acquisition in low resource environments
Beyond VirusTotal: A semantic approach to building reliable and up-to-date android malware datasets from threat reports
Process mining usage in cybersecurity and software reliability analysis: A systematic literature review
Double Layered Blockchain-based trust model for secure interest and data forwarding in Vehicular Information Centric Network
COVID-19 & privacy: Enhancing of indoor localization architectures towards effective social distancing
Lane-changing model for autonomous vehicles based on internet of vehicles
Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications
FedDDPG: A reinforcement learning method for federated learning-based vehicle trajectory prediction
The future of libraries: Integrating pepper and computer vision for smart assistance
DaNet: Domain-adaptive white blood cell classification through synthetic augmentation and cross-domain feature alignment
Between machines and art: The impact of CNC technology on artistic creation
StatVis: A visual analytics framework for statistical cluster validation in high dimensions
Development of automatic CNC machine with versatile applications in art, design, and engineering
Affective state prediction of E-learner using SS-ROA based deep LSTM
An Investigation of Biometric Authentication in the Healthcare Environment
Discriminative local affine-hull clustering for high-dimensional data
AFENet: Attention-guided feature enhancement network and a benchmark for low-altitude UAV sewage outfall detection
Green metrics for AI: A hybrid strategy for environmental impact assessment
IsharaNet: A robust nested feature fusion coupled with attention incorporated width scaled lightweight architecture for Bengali sign language recognition
LLT: A lane-level traffic flow prediction model optimized by multiple strategies for complex road network environments
A parallel particle swarm optimization for improving wireless sensor networks longevity-based dynamic clustering method
IoT-driven real-time weather measurement and forecasting mobile application with machine learning integration
Minute-wise frost prediction: An approach of recurrent neural networks
Network intrusion detection leveraging multimodal features
A privacy-preserving federated learning framework with graph neural networks for enhanced heart attack risk prediction
Remodelling correlation: A fault resilient technique of correlation sensitive stochastic designs
When quantum annealing meets multitasking: Potentials, challenges and opportunities
Influence maximization in social networks: Theories, methods and challenges
Learning Interpersonal Stance in Voice
Federated learning meets few-shot learning: A voting ensemble based combined approach to cauliflower leaf disease classification across Non-IID data distributions
5G-based V2V broadcast communications: A security perspective
Post-quantum cryptography Algorithm's standardization and performance analysis
A survey on vulnerability assessment tools and databases for cloud-based web applications
A blockchain-based framework for drug security: Leveraging EdDSA to prevent counterfeiting
Enhancing mental well-being: An artificial intelligence model for predicting mental disorders
Adaptive resampling for data compression
DOVE-FELM: A fusion-optimized feature selection and heterogeneous ensemble learning framework for early prediction of chronic kidney disease risk
AraBERT and DF-GAN fusion for Arabic text-to-image generation
Multi-view residual spatio-temporal topology adaptive graph convolutional network for urban road traffic accident prediction with multi-source risks
Quantum advantage on proof of work
Developing an Algorithm for Sequential Sorting of Discrete and Connected Characters Using Image Processing of Multi-Line License Plates
Chordiogram image descriptor based on visual attention model for image retrieval
Dual-model approach for one-shot lithium-ion battery state of health sequence prediction
AraScore: A deep learning-based system for Arabic short answer scoring
A dual-aggregation approach to fortify federated learning against poisoning attacks in IoTs
Modeling and simulating in-memory memristive deep learning systems: An overview of current efforts
Generalised network architectures for environmental sensing: Case studies for a digitally enabled environment
Adaptive distribution sphere framework: A dynamic approach to optimizing out-of-distribution detection
An improved U-Net based method for predicting cable tunnel cracks
GR-HDUNET: GAN-refined hybrid dense U-net with ensemble for colorectal cancer classification
Feature-driven comparison of Git and Mercurial using DBSCAN and Random Forest
Ensuring network security with a robust intrusion detection system using ensemble-based machine learning
KA-GCN: Kernel-Attentive Graph Convolutional Network for 3D face analysis
A systematic review of AI-driven business models for advancing Sustainable Development Goals
Extension of luminance component based demosaicking algorithm to 4- and 5-band multispectral images
Risk assessment and physical hazard detection in elderly living environments using multi-scale infrared and visible imagery fusion
Learning remaining useful life with incomplete health information: A case study on battery deterioration assessment
Industrial digitalization in the industry 4.0 era: Classification, reuse and authoring of digital models on Digital Twin platforms
Hybrid framework for Remaining Useful Life (RUL) prediction of rolling bearing faults
The Digitisation of Agriculture: a Survey of Research Activities on Smart Farming
Semi-supervised learning approach for localization and pose estimation of texture-less objects in cluttered scenes
Hyperspectral and multispectral image fusion based on unsupervised linear Transformer-guided fusion network
GuardianAI: Privacy-preserving federated anomaly detection with differential privacy
Using machine learning to identify top predictors for nurses' willingness to report medication errors
Advanced Persistent Threat attack detection method in cloud computing based on autoencoder and softmax regression algorithm
A data security and privacy scheme for user quality of experience in a Mobile Edge Computing-based network
An explainable comparative study of statistical, machine learning, deep learning, and hybrid models for CO2 emissions forecasting in Australia
Language Identification of Intra-Word Code-Switching for Arabic-English
Towards efficient multi-granular anomaly detection in distributed systems