yusuke1997/dblp-id-title huggingface dataset:
Developing and evaluating cybersecurity competencies for students in computing programs
Benefits, challenges, and usability evaluation of DeloreanJS: a back-in-time debugger for JavaScript
A distributed algorithm for solving large-scale p-median problems using expectation maximization
Multi-constraints based deep learning model for automated segmentation and diagnosis of coronary artery disease in X-ray angiographic images
A convolutional neural networks based approach for clustering of emotional elements in art design
Ambient intelligence governance review: from service-oriented to self-service
Research collaboration and topic trends in Computer Science based on top active authors
A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models
Detection of malicious consumer interest packet with dynamic threshold values
Contrast optimization of mass spectrometry imaging (MSI) data visualization by threshold intensity quantization (TrIQ)
Toward physiological indices of emotional state driving future ebook interactivity
A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework
The Delphi method to analyze the expert views on possible futures of the smart city adoption and development in developing countries: the case of Jordan
D-CyPre: a machine learning-based tool for accurate prediction of human CYP450 enzyme metabolic sites
Machine learning based tuberculosis (ML-TB) health predictor model: early TB health disease prediction with ML models for prevention in developing countries
FLMatchQA: a recursive neural network-based question answering with customized federated learning model
New hybrid segmentation algorithm: UNet-GOA
Enhancing emotion classification on the ISEAR dataset using fine-tuning and data augmentation with hybrid transformer models
A multitask model for realtime fish detection and segmentation based on YOLOv5
Multipath subflow transmission scheduling optimization algorithm based on cost-performance balance
Design of wireless battery management system monitoring and automated alarm system based on improved long short-term memory neural network
A BERT-Span model for Chinese named entity recognition in rehabilitation medicine
Power1D: a Python toolbox for numerical power estimates in experiments involving one-dimensional continua
Local network connectivity optimization: an evaluation of heuristics applied to complex spatial networks, a transportation case study, and a spatial social network
Intelligent sensors in assistive systems for deaf people: a comprehensive review
Soft and hard skills identification: insights from IT job advertisements in the CIS region
A collaborative semantic-based provenance management platform for reproducibility
Nanopublication beyond the sciences: the PeriodO period gazetteer
Real-time task parameter selection method of accounting system based on multi-objective optimization and genetic algorithm
Design of dynamic ski motion capture and human posture detection model based on spatio-temporal Transformer and wireless device tracking technology
A measurement framework to assess software maturity models
MeteoMex: open infrastructure for networked environmental monitoring and agriculture 4.0
Classification of Alzheimer's disease stages from magnetic resonance images using deep learning
Comparative evaluation of machine learning models for museum exhibit recognition from video-derived datasets
Integrating lightweight YOLOv5s and facial 3D keypoints for enhanced fatigued-driving detection
Modified MobileNetV2 transfer learning model to detect road potholes
MBAN: multi-branch attention network for small object detection
Classification of Zophobas morio and Tenebrio molitor using transfer learning
Activation function cyclically switchable convolutional neural network model
A novel hybrid-based approach of snort automatic rule generator and security event correlation (SARG-SEC)
Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks
Adaptive memory reservation strategy for heavy workloads in the Spark environment
Neural network hyperparameter optimization for prediction of real estate prices in Helsinki
Random pruning: channel sparsity by expectation scaling factor
Multi-angle information aggregation for inductive temporal graph embedding
A multi-queue-based ECN marking strategy for multi-class QoS guarantee in programmable networks
AI-driven balance evaluation: a comparative study between blind and non-blind individuals using the mini-BESTest
The real-time hand and object recognition for virtual interaction
Predicting sport event outcomes using deep learning
Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network
Adaptations of data mining methodologies: a systematic literature review
An efficient networking solution for extending and controlling wireless sensor networks using low-energy technologies
Utility metric for unsupervised feature selection
Automatic sleep staging by a hybrid model based on deep 1D-ResNet-SE and LSTM with single-channel raw EEG signals
How do you feel, developer? An explanatory theory of the impact of affects on programming performance
Hybrid mRMR and multi-objective particle swarm feature selection methods and application to metabolomics of traditional Chinese medicine
An analytical study on the identification of N-linked glycosylation sites using machine learning model
Give the people what they want: studying end-user needs for enhancing the web
Millimeter-wave channel modeling in a VANETs using coding techniques
Comparative investigation of parallel spatial interpolation algorithms for building large-scale digital elevation models
Security and privacy for Binance-based integrated blockchain for blood supply chain management systems
Research on furniture image classification based on MobileNetNAK
Schizophrenia diagnosis based on diverse epoch size resting-state EEG using machine learning
A novel chaotic transient search optimization algorithm for global optimization, real-world engineering problems and feature selection
A fast vectorized sorting implementation based on the ARM scalable vector extension (SVE)
Federated learning-driven collaborative recommendation system for multi-modal art analysis and enhanced recommendations
Online verification and management scheme of gateway meter flow in the power system by machine learning
A novel approach for solving travelling thief problem using enhanced simulated annealing
Vovel metrics - novel coupling metrics for improved software fault prediction
Identification of high-efficiency 3′GG gRNA motifs in indexed FASTA files with ngg2
Trapdoor proof of work
Efficient anomaly recognition using surveillance videos
Topic models with elements of neural networks: investigation of stability, coherence, and determining the optimal number of topics
Detecting spam and ham SMS messages using natural language processing and machine learning algorithms
Forma mentis networks map how nursing and engineering students enhance their mindsets about innovation and health during professional growth
An efficient hybrid differential evolution-golden jackal optimization algorithm for multilevel thresholding image segmentation
Analysis and prediction of athlete's anxiety state based on artificial intelligence
Tailored performance dashboards - an evaluation of the state of the art
Model for predicting drug resistance based on the clinical profile of tuberculosis patients using machine learning techniques
Edge and texture aware image denoising using median noise residue U-net with hand-crafted features
AliTV - interactive visualization of whole genome comparisons
Modelling the effects of perceived system quality and personal innovativeness on the intention to use metaverse: a structural equation modelling approach
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
Convolutional ensembles for Arabic Handwritten Character and Digit Recognition
Machine learning for detecting age and sex effects on corpus callosum volume
RCE-IFE: recursive cluster elimination with intra-cluster feature elimination
New deep data hiding and extraction algorithm using multi-channel with multi-level to improve data security and payload capacity
The Silhouette coefficient and the Davies-Bouldin index are more informative than Dunn index, Calinski-Harabasz index, Shannon entropy, and Gap statistic for unsupervised clustering internal evaluation of two convex clusters
Sleep stage prediction using multimodal body network and circadian rhythm
The role of automated evaluation techniques in online professional translator training
Improved smart city security using a deep maxout network-based intrusion detection system with walrus optimization
PhilDB: the time series database with built-in change logging
Towards a psychology of machines: large language models predict human memory
A hybrid fusion of the recurrent neural network and bidirectional long short-term memory for wind speed prediction in the South China Sea
An intelligent film recommender system based on emotional analysis
Intelligent expert system fault diagnosis based on PCA-SPE-CNN classifier
Graph convolutional network and self-attentive for sequential recommendation
A new hybrid method combining search and direct based construction ideas to generate all 4 × 4 involutory maximum distance separable (MDS) matrices over binary field extensions
Nanopublication-based semantic publishing and reviewing: a field study with formalization papers
The doctor's digital double: how warmth, competence, and animation promote adherence intention
Research on automatic matching of online mathematics courses and design of teaching activities based on multiobjective optimization algorithm
Out of (the) bag - encoding categorical predictors impacts out-of-bag samples
Two-dimensional Kolmogorov complexity and an empirical validation of the Coding theorem method by compressibility
Research on path planning of mobile robots based on improved A * algorithm
DeepSpoofNet: a framework for securing UAVs against GPS spoofing attacks
DE-RALBA: dynamic enhanced resource aware load balancing algorithm for cloud computing
Detecting image manipulation with ELA-CNN integration: a powerful framework for authenticity verification
ClusterEnG: an interactive educational web resource for clustering and visualizing high-dimensional data
Interests of Google users in information pollution terminologies: an infodemiology study
A local cost simulation-based algorithm to solve distributed constraint optimization problems
Infrared and visible image fusion algorithm based on gradient attention residuals dense block
A systematic review on artificial intelligence approaches for smart health devices
Guidelines for a participatory Smart City model to address Amazon's urban environmental problems
What people think about fast food: opinions analysis and LDA modeling on fast food restaurants using unstructured tweets
Species-specific audio detection: a comparison of three template-based detection algorithms using random forests
SEU 2 -Net: multi-scale U 2 -Net with SE attention mechanism for liver occupying lesion CT image segmentation
Python code smells detection using conventional machine learning models
Alpha-DehazeNet: single image dehazing via RGBA haze modeling and adaptive learning
Develop an esthetic-zonal non-invasive periodontal assessment tool based on YOLOv8 and intraoral images
RatUNet: residual U-Net based on attention mechanism for image denoising
Computing tensor Z-eigenpairs via an alternating direction method
DeepMoney: counterfeit money detection using generative adversarial networks
Deep context-attentive transformer transfer learning for financial forecasting
ENeTAMIB: an attention-inception-based model for accurate and explainable skin disease diagnosis
Real-time quintic Hermite interpolation for robot trajectory execution
Optimizing forensic file classification: enhancing SFCS with β k hyperparameter tuning
Application of graph auto-encoders based on regularization in recommendation algorithms
M 3 NID: an intrusion detection system based on the dual-mode spatio-temporal feature fusion method
A novel traffic optimization method using GRU based deep neural network for the IoV system
Hybrid transformer-CNN and LSTM model for lung disease segmentation and classification
Fairness modeling for topics with different scales in short texts
Zero-shot reranking with dense encoder models for news background linking
Sporting a virtual future: exploring sports and virtual reality patents using deep learning-based analysis
A systematic review on hand gesture recognition techniques, challenges and applications
HSMVS: heuristic search for minimum vertex separator on massive graphs
FRVC: frame relevance based video compression for surveillance videos using deep learning methods
A lightweight convolutional neural network (CNN) model for diatom classification: DiatomNet
avidaR: an R library to perform complex queries on an ontology-based database of digital organisms
Enhancing ransomware defense: deep learning-based detection and family-wise classification of evolving threats
Multimodal hate speech detection: a novel deep learning framework for multilingual text and images
Model design and parameter optimization of CNN for side-channel cryptanalysis
Origin-destination prediction from road average speed data using GraphResLSTM model
MAPE-ViT: multimodal scene understanding with novel wavelet-augmented Vision Transformer
TbsNet: the importance of thin-branch structures in CNNs
Binary semantic segmentation for detection of prostate adenocarcinoma using an ensemble with attention and residual U-Net architectures
A user task design notation for improved software design
Provenance-and machine learning-based recommendation of parameter values in scientific workflows
An adaptive dimension differential evolution algorithm based on ranking scheme for global optimization
YOLOv8-DEE: a high-precision model for printed circuit board defect detection
DECAF: deep capsule attention network for intelligent auto loan default risk detection
Enhancing semantic belief function to handle decision conflicts in SoS using k-means clustering
A model integrating attention mechanism and generative adversarial network for image style transfer
Anime popularity prediction before huge investments: a multimodal approach using deep learning
MonARCh: an actor based architecture for dynamic linked data monitoring
A malware detection method with function parameters encoding and function dependency modeling
Switch controllers of an n -link revolute manipulator with a prismatic end-effector for landmark navigation
What are developers talking about information security? A large-scale study using semantic analysis of Q&A posts
DPIF-Net: a dual path network for rural road extraction based on the fusion of global and local information
KL-MOB: automated COVID-19 recognition using a novel approach based on image enhancement and a modified MobileNet CNN
A benchmarking program to support software process improvement adaptation in a developing country, a Pakistan case
Dependency management bots in open-source systems - prevalence and adoption
TurkSentGraphExp: an inherent graph aware explainability framework from pre-trained LLM for Turkish sentiment analysis
Genome annotation across species using deep convolutional neural networks
Few-shot short utterance speaker verification using meta-learning
A game theoretic power control and spectrum sharing approach using cost dominance in cognitive radio networks
Can executives' digital background develop the level of AI utilization in enterprises
An enhanced Genetic Folding algorithm for prostate and breast cancer detection
Deep learning models for damage type detection in wind turbines
Multichannel speech enhancement for automatic speech recognition: a literature review
Photovoltaic panel defect detection algorithm based on infrared imaging and improved YOLOv8
Synergizing language learning: SmallTalk AI In industry 4.0 and Education 4.0
Research on marine flexible biological target detection based on improved YOLOv8 algorithm
Artificial intelligence and machine learning approaches in cerebral palsy diagnosis, prognosis, and management: a comprehensive review
Unveiling the capabilities of vision transformers in sperm morphology analysis: a comparative evaluation
MFEE: a multi-word lexical feature enhancement framework for Chinese geological hazard event extraction
Unleashing quantum algorithms with Qinterpreter: bridging the gap between theory and practice across leading quantum computing platforms
Optimizing maize germination forecasts with random forest and data fusion techniques
Dual-stream transformer approach for pain assessment using visual-physiological data modeling
Clustering analysis for classifying fake real estate listings
Ephemeral data handling in microservices with Tquery
Hybrid coordination for the fast formation building of multi-small-AUV systems with the on-board cameras and limited communication
Novel statistically equivalent signature-based hybrid feature selection and ensemble deep learning LSTM and GRU for chronic kidney disease classification
User emotion recognition and indoor space interaction design: a CNN model optimized by multimodal weighted networks
Enhancing credit card fraud detection with a stacking-based hybrid machine learning approach
Novel conditional tabular generative adversarial network based image augmentation for railway track fault detection
Computer-aided colorectal cancer diagnosis: AI-driven image segmentation and classification
Next generation sequencing under attack: investigating insider threats and organizational behaviour
STB: synthetic minority oversampling technique for tree-boosting models for imbalanced datasets of intrusion detection systems
Leveraging VGG-19 for automated fruit classification in smart agriculture
Spatial position constraint for unsupervised learning of speech representations
Lightweight and compact smart walking cane
DenseHillNet: a lightweight CNN for accurate classification of natural images
Text-guided RGB-P grasp generation
Predicting inmate suicidal behavior with an interpretable ensemble machine learning approach in smart prisons
Analysis of historical road accident data supporting autonomous vehicle control strategies
Addressing multiple bit/symbol errors in DRAM subsystem
TASCI: transformers for aspect-based sentiment analysis with contextual intent integration
Recognition of sports and daily activities through deep learning and convolutional block attention
BengSentiLex and BengSwearLex: creating lexicons for sentiment analysis and profanity detection in low-resource Bengali language
A serendipity-biased Deepwalk for collaborators recommendation
Effects of data count and image scaling on Deep Learning training
Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata
Optic disc and cup segmentation for glaucoma detection using Attention U-Net incorporating residual mechanism
Application of public emotion feature extraction algorithm based on social media communication in public opinion analysis of natural disasters
A proposed reconstruction method of a 3D animation scene based on a fuzzy long and short-term memory algorithm
A review of deep learning methods in aquatic animal husbandry
Enriching scientific publications with interactive 3D PDF: an integrated toolbox for creating ready-to-publish figures
Impact of machine learning on dietary and exercise behaviors in type 2 diabetes self-management: a systematic literature review
Classifying software security requirements into confidentiality, integrity, and availability using machine learning approaches
A hybridizing-enhanced differential evolution for optimization
A novel approach for explicit song lyrics detection using machine and deep ensemble learning models
Efficient algorithm for directed text detection based on rotation decoupled bounding box
DCWPSO: particle swarm optimization with dynamic inertia weight updating and enhanced learning strategies
DSGRec: dual-path selection graph for multimodal recommendation
Machine learning code snippets semantic classification
Decoders configurations based on Unet family and feature pyramid network for COVID-19 segmentation on CT images
Impact of green technology innovation based on IoT and industrial supply chain on the promotion of enterprise digital economy
A deep learning approach to predict blood-brain barrier permeability
On the secrecy performance of transmit-receive diversity and spatial multiplexing systems
Revolutionizing diabetic eye disease detection: retinal image analysis with cutting-edge deep learning techniques
Pattern transition recognition based on transfer learning for exoskeleton across different terrains
A collaborative inference strategy for medical image diagnosis in mobile edge computing environment
A novel multi-class imbalanced EEG signals classification based on the adaptive synthetic sampling (ADASYN) approach
Leveraging LLaMA2 for improved document classification in English
A novel incomplete hesitant fuzzy information supplement and clustering method for large-scale group decision-making
Result Assessment Tool (RAT): empowering search engine data analysis
CVG-Net: novel transfer learning based deep features for diagnosis of brain tumors using MRI scans
An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry
A methodology for psycho-biological assessment of stress in software engineering
Capturing the interplay of dynamics and networks through parameterizations of Laplacian operators
Bio-Rollup: a new privacy protection solution for biometrics based on two-layer scalability-focused blockchain
Fish species identification on low resolution - a study with enhanced super-resolution generative adversarial network (ESRGAN), YOLO and VGG-16
Enhancing infectious disease prediction model selection with multi-objective optimization: an empirical study
A bilingual benchmark for evaluating large language models
A novel optimization method for hazardous materials vehicle routing with temperature-based time windows
An efficient computational framework for gastrointestinal disorder prediction using attention-based transfer learning
A novel fully convolutional network for visual saliency prediction
Identifying vulgarity in Bengali social media textual content
Facial expression recognition (FER) survey: a vision, architectural elements, and future directions
Smart Brix - a continuous evolution framework for container application deployments
GCL-ALG: graph contrastive learning with adaptive learnable view generators
A novel deep learning model for predicting marine pollution for sustainable ocean management
A hybrid multi-objective whale optimization algorithm for analyzing microarray data based on Apache Spark
A secure solution based on load-balancing algorithms between regions in the cloud environment
SH-SDS: a new static-dynamic strategy for substation host security detection
Design of efficient generalized digital fractional order differentiators using an improved whale optimization algorithm
Research on intelligent forecasts of flight actions based on the implemented bi-LSTM
Enhancing breast cancer diagnosis using deep learning and gradient multi-verse optimizer: a robust biomedical data analysis approach
starMC: an automata based CTL* model checker
Context awareness based Sketch-DeepNet architecture for hand-drawn sketches classification and recognition in AIoT
Flood algorithm: a novel metaheuristic algorithm for optimization problems
Data augmentation based malware detection using convolutional neural networks
A deep learning-based approach for emotional analysis of sports dance
Integration of simulated annealing into pigeon inspired optimizer algorithm for feature selection in network intrusion detection systems
A robust detect and describe framework for object recognition in early childhood education