yusuke1997/dblp-id-title huggingface dataset:
Image compression based on 2D Discrete Fourier Transform and matrix minimization algorithm
GARD: Gender difference analysis and recognition based on machine learning
MalGEA: A malware analysis framework via matrix factorization based node embedding and graph external attention
Incorporating stakeholder concerns in Land Information Systems for urban flood management
Multimodal data fusion for Alzheimer's disease based on dynamic heterogeneous graph convolutional neural network and generative adversarial network
All-Three: Near-optimal and domain-independent algorithms for near-duplicate detection
An Ensemble Learning Framework with Explainable AI for interpretable leaf disease detection
An efficient metaheuristic optimization algorithm for optimal power extraction from PV systems under various weather and load-changing conditions
Deep functional multiple index models with an application to speech emotion recognition
Assessing generalizability of Deep Reinforcement Learning algorithms for Automated Vulnerability Assessment and Penetration Testing
A generalized approach to estimation of memoryless covert channel information leakage capacity
Efficient management of computational resources in the IoT FOG layer. Automation and load balancing using Simple FOG Management Protocol
A CNN based multifaceted signal processing framework for heart rate proctoring using Millimeter wave radar ballistocardiography
An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection
Mechanisms and techniques to enhance the security of big data analytic framework with MongoDB and Linux Containers
Small group pedestrian crossing behaviour prediction using temporal angular 2D skeletal pose
Efficient perturbation techniques for preserving privacy of multivariate sensitive data
Leveraging Digital Twin for operational resilience in the oil and gas industry
Semantic segmentation of terrestrial whole-sky images using the new W-Net model with the stationary wavelet transform 2D
Event related potential (ERP) as a reliable biometric indicator: A comparative approach
Android malware detection using Transformer, Decoder and Encoder models
Anonymous wireless body area networks authentication protocol based on biometrics and asymmetric key cryptography
A survey of lightweight methods for object detection networks
Black box analysis of android malware detectors
Unified ARP-ViT-CNN system: Hybrid deep learning approach for segmenting and classifying multiple skin cancer lesions
TFHE-rs: A library for safe and secure remote computing using fully homomorphic encryption and trusted execution environments
Ensemble approach assisted grade capacitance prediction of biomass-derived electrode materials: New insights and implications for high performance supercapacitors
The study of the hyper-parameter modelling the decision rule of the cautious classifiers based on the Fβ measure
Hybrid weakly supervised learning with deep learning technique for detection of fake news from cyber propaganda
Kinematic modes of vision-based heterogeneous UAV-AGV system
NEDL-GCP: A nested ensemble deep learning model for Gynecological cancer risk prediction
Vehicle detection and recognition approach in smart surveillance system: A comparative analysis
The role of AI in capital structure to enhance corporate funding strategies
Distance measurement system for autonomous vehicles using stereo camera
Enhancing object detection in low-resolution images via frequency domain learning
Enhancing knowledge tracing through course map and question difficulty analysis
Research on planning and optimization of trajectory for underwater vision welding robot
An improving performance cellular DTV broadcasting with hybrid non-orthogonal LDM and orthogonal eMBMS configuration
Meta-learning based softmax average of convolutional neural networks using multi-layer perceptron for brain tumour classification
Volatility-aware multimodal sleep modeling with latent State inference and Pareto-optimized sensor fusion
A novel re-share recommender system for optimizing targeted content diffusion in social networks
Prediction of psychophysiological perception of driver in road tunnel using particle swarm optimization improved stacked denoising autoencoder model
Natural language model for automatic identification of Intimate Partner Violence reports from Twitter
Application of artificial intelligence in agri-tech, environmental and biodiversity conservation
BLPnet: A new DNN model and Bengali OCR engine for Automatic Licence Plate Recognition
Privacy-aware multi-agent deep reinforcement learning for ethical coordinated control in smart regional grids
Reinforcement learning based intelligent optimisation for bin packing problems: A review
IoT-MAC: A Channel Access Mechanism for IoT Smart Environment
Novel delayed binary time-series pattern based machine learning techniques for stock market forecasting
A robust and secure watermarking algorithm based on DWT and SVD in the fractional order fourier transform domain
Comprehensive survey on image steganalysis using deep learning
Optimising Multilayer Perceptron weights and biases through a Cellular Genetic Algorithm for medical data classification
Waypoint-guided trajectory planning for mobile robots using GPT-4.1 mini and ensemble learning-based action prediction
Enhanced zebra optimization algorithm for sustainable combined economic and emission dispatch in power systems
Reducing the number of centers in a probabilistic neural network via applying the first neighbor means clustering algorithm
A quantitative approach to modeling transcription factor binding specificity from DNA sequences
Applying survival analysis and Explainable Artificial Intelligence to understand academic success in software engineering students
Innovative Data Modeling Concepts for Big Data Analytics: Probabilistic Cardinality and Replicability Notations
Optimal inventory system for deteriorated goods with time-varying demand rate function and advertisement cost
SEAGET: Seasonal and active hours guided graph enhanced transformer for the next POI recommendation
Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese
Intelligent detection and analysis of motors based on signal extraction and improved machine learning
A single fault localization technique based on failed test input
Fault detection and state estimation in robotic automatic control using machine learning
High-performance reversible data hiding scheme via block dynamic selection
A fully AI-based system to automate water meter data collection in Morocco country
CLORG: A contrastive learning-based framework for morphological representation and classification of organoids
The effect of pruning on the efficiency and effectiveness of hybrid imbalanced multiclass classification models
A hybrid architecture with separable convolutions and attention for lung and colon cancer detection
Artificial Intelligence for data modeling in triboelectric nanogenerators
An improved hand gesture recognition system using keypoints and hand bounding boxes
Dual CNN for photovoltaic electroluminescence images microcrack detection
Organically distributed sustainable storage clusters
SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction
AI-driven wearable health devices with health-aware control and secure Prognostics: Experimental and Simulation-Based Validation
CIFormer: Cross Interaction TransFormer for surface defect detection in ceramic tile
Attack surface analysis and mitigation for near-field communication networks and devices in smart grids
BreastMultiNet: A multi-scale feature fusion method using deep neural network to detect breast cancer
Sparse and dense matrix multiplication hardware for heterogeneous multi-precision neural networks
Narrowly avoided cusp catastrophes in Least Squares Orthogonal Distance Fitting
ResneSt-Transformer: Joint attention segmentation-free for end-to-end handwriting paragraph recognition model
Hybrid bio-inspired optimization based routing protocol for enhancing data transmission in clustered network
ANALYZE-AD: A comparative analysis of novel AI approaches for early Alzheimer's detection
ZEP-NAS: Enabling green-aware model design via zero-cost emission proxy in neural architecture search
Hierarchical graph neural network for compressed speech steganalysis
Mobile learning evolution and emerging computing paradigms: An edge-based cloud architecture for reduced latencies and quick response time
An attention based residual U-Net with swin transformer for brain MRI segmentation
A real-time application-based convolutional neural network approach for tomato leaf disease classification
Extractive social media text summarization based on MFMMR-BertSum
Dual branch multi-scale feature fusion method for liver tumor detection
Energy efficient convolutional neural networks for arrhythmia detection
Multi-area economic dispatch with stochastic wind power using Salp Swarm Algorithm
AIDA: Artificial intelligence based depression assessment applied to Bangladeshi students
ACC: Aerial Cell Cloning protocol for efficient session continuity in LAP replacement for 6G
Maximizing influence via link prediction in evolving networks
The evolving role of deep learning in image-based gynecological cancer Diagnosis: A comprehensive review
A multi-agent based enhancement for multimodal biometric system at border control
Development and application of piano accompanying system based on New Fingerprint algorithm
Quality of service-aware service selection algorithms for the internet of things environment: A review paper
SSFuzzyART: A Semi-Supervised Fuzzy ART through seeding initialization and a clustered data generation algorithm to deeply study clustering solutions
On the depth of decision trees over infinite 1-homogeneous binary information systems
Triplet extraction leveraging sentence transformers and dependency parsing
Impact of surrogate model accuracy on performance and model management strategy in surrogate-assisted evolutionary algorithms
Cybersecurity of remote work migration: A study on the VPN security landscape post Covid-19 outbreak
Occlusion and multi-scale pedestrian detection A review
BT-Net: An end-to-end multi-task architecture for brain tumor classification, segmentation, and localization from MRI images
WhispAdapt: Multilingual dialect recognition in low-resource Dravidian languages
NLP based text classification using TF-IDF enabled fine-tuned long short-term memory: An empirical analysis
Photonic crystal fiber-based terahertz biosensor: Identifying Staphylococcus aureus bacteria and skin health implications
Cobb angle prediction for adolescent idiopathic scoliosis via an explainable machine learning model
Interpretable Physics-Informed Neural Networks for energy consumption prediction using IoT sensors
Sparse representation of 3D images for piecewise dimensionality reduction with high quality reconstruction
A comprehensive analysis of feature ranking-based fish disease recognition
Stochastic recognition of human daily activities via hybrid descriptors and random forest using wearable sensors
From data to detection: Developing a corpus and training language models for the identification of anti-refugee narratives in Spanish
DGTM: Deriving Graph from transformer with Mamba for panoptic scene graph generation
Rationalizing machine learning models for real-time health prognosis of lithium-ion batteries
FLRF: Federated recommendation optimization for long-tail data distribution
Characteristics of reversible circuits for error detection
Inter-model interpretability: Self-supervised models as a case study
Advances of AI in image-based computer-aided diagnosis: A review
A heuristic approach for load balancing the FP-growth algorithm on MapReduce
IXVC: An interactive pipeline for explaining visual clusters in dimensionality reduction visualizations with decision trees
Securing wearable healthcare devices: An active data framework
A retrieval augmented generation based optimization approach for medical knowledge understanding and reasoning in large language models
Improving novelty detection using the reconstructions of nearest neighbours
Automated road extraction using reinforced road indices for Sentinel-2 data
An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing
AggreGait: Automatic gait feature extraction for human age and gender classification with possible occlusion
Novel group handover mechanism for Cooperative and Coordinated Mobile Femtocells technology in railway environment
DIFCURV: A unified framework for Diffusion Curve Fitting and prediction in Online Social Networks
Advancing face detection efficiency: Utilizing classification networks for lowering false positive incidences
D2MNet for music generation joint driven by facial expressions and dance movements
Surrogate modeling of parametrized finite element simulations with varying mesh topology using recurrent neural networks
Modelling medical data using the cosine generalized exponential distribution
Differential privacy in edge computing-based smart city Applications:Security issues, solutions and future directions
Automatic optimization model of transmission line based on GIS and genetic algorithm
A hybrid approach for cervical cancer detection: Combining D-CNN, transfer learning, and ensemble models
Agile Development for Safety Assurance of Machine Learning in Autonomous Systems (AgileAMLAS)
Multiclass blood cancer classification using deep CNN with optimized features
Crocodile Ambush Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems
Multi-objective game for fighting against Distributed Reflection DoS attacks in software-defined network
Comparative evaluation of ChatGPT and DeepSeek across key NLP tasks: Strengths, weaknesses, and domain-specific performance
Fusion in dissimilarity space for RGB-D person re-identification
Adaptive high frequency data streaming for Soft Real-Time Industrial AI: A scalable microservices based architecture with dynamic downsampling
Explaining anomalies through semi-supervised Autoencoders
An enhanced Walrus Optimizer with opposition-based learning and mutation strategy for data clustering
Impact of software quality on organizational performance
Optimized GNSS tropospheric delay model for high-precision dam deformation monitoring in large height difference environments
Selection of unlabeled source domains for domain adaptation in remote sensing
Using textual bug reports to predict the fault category of software bugs
Vehicle Re-identification method based on Swin-Transformer network
Classifying jobs towards power-aware HPC system operation through long-term log analysis
Forecasting students' adaptability in online entrepreneurship education using modified ensemble machine learning model
Investigating diverse loss functions for myocardium ring segmentation in Cardiac Magnetic Resonance images using fuzzy pooling
Special issue "Towards a higher education of the future: Transformational roles of edge intelligence"
A prospective interoperable distributed e-Health system with loose coupling in improving healthcare services for developing countries
A novel image representation of GNSS correlation for deep learning multipath detection
An efficient integration and indexing method based on feature patterns and semantic analysis for big data
Developing a novel approach for passive damped LCL filter and controller parameter design using PSO algorithm in VSC-based islanded microgrids
Performance evaluation on work-stealing featured parallel programs on asymmetric performance multicore processors
Assessing a new Frequency Modulation architecture for artificial large area skin-like sensory array deployment in robotic platforms
Evaluating machine learning techniques for enhanced glaucoma screening through Pupillary Light Reflex analysis
Application of mixture of experts models for the recognition of pests and diseases in maize
Kororā: A secure live virtual machine job migration framework for cloud systems integrity
Reimagining otitis media diagnosis: A fusion of nested U-Net segmentation with graph theory-inspired feature set
Neighborhood Information Aggregation and Multi-View Feature Extraction-Based Contrastive Graph Clustering
Bleeding alert map (BAM): The identification method of the bleeding source in real organs using datasets made on mimicking organs
Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies
RiceKernelEngine: Benchmarking transfer learning models for microscopic images of rice kernel
Emotion recognition from EEG-based relative power spectral topography using convolutional neural network
A multimodal deep learning framework for integrating visual, textual and categorical features in retail price estimation
An optimized hybrid methodology for non-invasive fetal electrocardiogram signal extraction and monitoring
Single-Stage Extensive Semantic Fusion for multi-modal sarcasm detection
Deep learning in static, metric-based bug prediction
Shock filter coupled with a high-order PDE for additive noise removal and image quality enhancement
A survey on the application of deep learning for code injection detection
Data enhancement to improve CNN accuracy for early detection of colorectal cancer
Performance evaluation of a portable single-board computer as a 3-tiered LAMP stack under 32-bit and 64-bit Operating Systems
Low-fidelity design optimization and development of a VTOL swarm UAV with an open-source framework
Towards automatic discovery and assessment of vulnerability severity in cyber-physical systems
Detection of developmental dyslexia with machine learning using eye movement data
Deep learning computer vision for robotic disassembly and servicing applications
General implementation of quantum physics-informed neural networks
Selecting a clustering algorithm: A semi-automated hyperparameter tuning framework for effective persona development
Blockchain in healthcare and IoT: A systematic literature review
A systematic review of healthcare cyber-physical systems with associated innovative technologies for Alzheimer's and Parkinson's Diseases
Graph neural networks for parameter estimation in micro-electro-mechanical system testing
A framework for post-prognosis decision-making utilizing deep reinforcement learning considering imperfect maintenance decisions and Value of Information
Emotion recognition with a Randomized CNN-multihead-attention hybrid model optimized by evolutionary intelligence algorithm
System and methods for wireless power transfer scheduling in a wireless power transfer network
Urban road pedestrian detection system integrating IoT technology and multi-sensor data fusion algorithm
Context-aware decision making in autonomous vehicles: Integrating social behavior modeling with large language models
Integrating industry 4.0 technologies in defense manufacturing: Challenges, solutions, and potential opportunities
Big data security & individual (psychological) resilience: A review of social media risks and lessons learned from Indonesia
Trainless model performance estimation based on random weights initialisations for neural architecture search
Optimizing spinal cord lesion segmentation using hierarchical classification and U-NET based segmentation model
DeepSeek R1 excels in diagnosing previously misdiagnosed cases
Response activation and inhibition after exposure to virtual reality
Ultra Wideband radar-based gait analysis for gender classification using artificial intelligence
From survey to solution: A deep learning framework for reliable monkeypox diagnosis using skin images
SemanticGraph2Vec: Semantic graph embedding for text representation
Realization of ideal architecture of IoTs
Mining area skyline objects from map-based big data using Apache Spark framework
Design and implementation of event-based multicast AODV routing protocol for ubiquitous network
Detection method of the seat belt for workers at height based on UAV image and YOLO algorithm
Intelligent detection methods for miniature defects in metallic materials
Hierarchical representation learning for next basket recommendation
Time-frequency dual-stream transformer with gated attention for EEG-based seizure detection
A parameter-free graph reduction for spectral clustering and SpectralNet
Combining computational linguistics with sentence embedding to create a zero-shot NLIDB
Non-textured objects visual SLAM using pola-rization 3D reconstruction
Deep learning regularization techniques to genomics data
Vision transformer embedded video anomaly detection using attention driven recurrence
An improved probability propagation algorithm for density peak clustering based on natural nearest neighborhood
Evaluation of next-generation high-order compressible fluid dynamic solver on cloud computing for complex industrial flows
Improved K-means clustering and adaptive distance threshold for energy reduction in WSN-IoTs
Towards walkable footpath detection for the visually impaired on Bangladeshi roads with smartphones using deep edge intelligence
Maximization influence in dynamic social networks and graphs
Empirical autopsy of deep video captioning encoder-decoder architecture
Hybrid optimization algorithm based optimal resource allocation for cooperative cognitive radio network
A hybrid recommendation scheme for delay-tolerant networks: The case of digital marketplaces
Physics-informed neural network method for solving one-dimensional advection equation using PyTorch
Deep learning-based detection and classification of acute lymphoblastic leukemia with explainable AI techniques
Gesture-controlled omnidirectional autonomous vehicle: A web-based approach for gesture recognition
Distributed denial of service attack detection in E-government cloud via data clustering
Brain tumor detection, classification and segmentation by deep learning models from MRI images: Recent approaches, challenges and future directions
Sensor data fusion optimization in UAV integrated navigation based on matrix factorization
LFR-Net: Local feature residual network for single image dehazing
LDPC coded hybrid discrete cosine transform and Fejér-Korovkin wavelet transform-based SC-FDMA for image communication
PrivShield-CQ: A chaotic-quantum encryption framework with lightweight authentication for post-quantum secure consumer applications
Taxonomy, challenges, and future directions for AI-driven industrial cooling systems
CAAT: Image super-resolution algorithm via channel attention and transformer
An explainable AI-based approach for predicting undergraduate students academic performance
Robust photovoltaic power output forecasting and ramping capacity estimation for smart energy systems
Machine learning to promote health management through lifestyle changes for hypertension patients
Data augmentation: A comprehensive survey of modern approaches
An efficient ACO-based algorithm for task scheduling in heterogeneous multiprocessing environments
Decision trees for regular factorial languages
A lightweight remote sensing image detection model with feature aggregation diffusion network
Robustness and user test on text-based CAPTCHA: Letter segmenting is not too easy or too hard
Optimal receive beamforming in spatial antenna diversity system using evolutionary genetic algorithm
Optimizing modelling accuracy using variational mode decomposition and elastic net regression: Evidence in stock market prediction
Securing localization-free underwater routing protocols against depth-spoofing attacks
Attention-enhanced hybrid CNN-LSTM network with self-adaptive CBAM for COVID-19 diagnosis
2D and 3D object detection algorithms from images: A Survey
Tablext: A combined neural network and heuristic based table extractor
A distributed algorithm for vertex coloring problems in wireless networks
Improving link failure restoration in next-generation wireless sensor networks
Agile change approach for collaborative software development contexts: A systematic literature review
A reinforcement learning based fuzzing technique for binary programs vulnerabilities detection
E-HFWN: Design and performance test of a communication and sensing integrated network for enhanced 5G mmWave