yusuke1997/dblp-id-title huggingface dataset:
IMPACT: an interactive multi-disease prevention and counterfactual treatment system using explainable AI and a multimodal LLM
An intrusion detection system based on convolution neural network
A review of social background profiling of speakers from speech accents
Discrete natural neighbour interpolation with uncertainty using cross-validation error-distance fields
Tone classification of online medical services based on 1DCNN-BiLSTM
Swarm intelligence-based model for improving prediction performance of low-expectation teams in educational software engineering projects
The accuracy of Random Forest performance can be improved by conducting a feature selection with a balancing strategy
On GPS spoofing of aerial platforms: a review of threats, challenges, methodologies, and future research directions
A consumer emotion analysis system based on support vector regression model
RNN-BiLSTM-CRF based amalgamated deep learning model for electricity theft detection to secure smart grids
A deep learning algorithm to detect coronavirus (COVID-19) disease using CT images
An adaptive hybrid XdeepFM based deep Interest network model for click-through rate prediction system
Comparison and benchmark of name-to-gender inference services
Fuzzy information recognition and translation processing in English interpretation based on a generalized maximum likelihood ratio algorithm
Multifeature fusion for claim scope-aware litigation risk prediction for patent drafts
Delay minimization based uplink resource allocation for device-to-device communications considering mmWave propagation
Effects of sliding window variation in the performance of acceleration-based human activity recognition using deep learning models
Advancing brain tumor detection: harnessing the Swin Transformer's power for accurate classification and performance analysis
Intent-aware knowledge graph-based model for electrical power material recommendation
A Halo abstraction for distributed n-dimensional structured grids within the C++ PGAS library DASH
Joint classification and regression with deep multi task learning model using conventional based patch extraction for brain disease diagnosis
Deep learning for enhanced risk management: a novel approach to analyzing financial reports
Enhancing confidence indices estimation: an analytical framework harnessing online behavioral data
A retrospective study of 3D deep learning approach incorporating coordinate information to improve the segmentation of pre- and post-operative abdominal aortic aneurysm
Non-redundant implicational base of formal context with constraints using SAT
Identification of offensive language in Urdu using semantic and embedding models
A novel recursive sub-tensor hyperspectral compressive sensing of plant leaves based on multiple arbitrary-shape regions of interest
Spatio-temporal characterisation and compensation method based on CNN and LSTM for residential travel data
A low-cost unity-based virtual training simulator for laparoscopic partial nephrectomy using HTC Vive
Controller placement with critical switch aware in software-defined network (CPCSA)
Data augmentation-based conditional Wasserstein generative adversarial network-gradient penalty for XSS attack detection system
An interpretable multi-transformer ensemble for text-based movie genre classification
Deep artificial neural network based on environmental sound data for the generation of a children activity classification model
Transformer-based ensemble model for dialectal Arabic sentiment classification
Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis
ProcGCN: detecting malicious process in memory based on DGCNN
Introducing the municipal digital offering index for evaluating online services and addressing the digital divide
A weighted sparse coding model on product Grassmann manifold for video-based human gesture recognition
Multimodal scene recognition using semantic segmentation and deep learning integration
A hybrid blockchain-based solution for secure sharing of electronic medical record data
BiLSTM-enhanced legal text extraction model using fuzzy logic and metaphor recognition
Multi-granularity adaptive extractive document summarization with heterogeneous graph neural networks
Design of compensation algorithms for zero padding and its application to a patch based deep neural network
A named entity recognition model embedding rehabilitation medicine Chinese character knowledge graph
Applying vision transformer to assess multi-scale morphological features in mammography for breast cancer detection: multiscale image morphological extraction vision transformer (MIME-ViT)
Data-flow-based adaption of the System-Theoretic Process Analysis for Security (STPA-Sec)
A robust chaos-inspired artificial intelligence model for dealing with nonlinear dynamics in wind speed forecasting
IAESR: IoT-oriented authenticated encryption based on iShadow round function
Using demographics toward efficient data classification in citizen science: a Bayesian approach
The design of early warning software systems for financial crises in high-tech businesses using fusion models in the context of sustainable economic growth
Regularized multi-path XSENet ensembler for enhanced student performance prediction in higher education
A wheat spike image segmentation method based on improved U-Net
Comparative analysis of machine translation for Hindi-Dogri text using rule-based, statistical, and neural approaches
Eye Disease Net: an algorithmic model for rapid diagnosis of diseases
Process mining applications in healthcare: a systematic literature review
Wormhole attack detection and mitigation model for Internet of Things and WSN using machine learning
Automated lung cancer diagnosis from chest X-ray images using convolutional neural networks
Harnessing AI and analytics to enhance cybersecurity and privacy for collective intelligence systems
Predicting Brazilian Court Decisions
A lightweight coal-gangue detection model based on parallel deep residual networks
Where is all the research software? An analysis of software in UK academic repositories
U-TSS: a novel time series segmentation model based U-net applied to automatic detection of interference events in geomagnetic field data
Utilizing social media and video games to control #DIY microscopes
An improved lightweight object detection algorithm for YOLOv5
Angle information assisting skeleton-based actions recognition
Techniques and countermeasures for preventing insider threats
A framework for the prediction of earthquake using federated learning
A high performance computing technology powered multimedia fusion model in university English translation
FedLGAN: a method for anomaly detection and repair of hydrological telemetry data based on federated learning
CTCN: a novel credit card fraud detection method based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network
Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing
Semantic-aware framework for zero-shot malware classification via attention-based relation network
BinBench: a benchmark for x64 portable operating system interface binary function representations
The optimization and operation of multi-energy-coupled microgrids by the improved fireworks algorithm-shuffled frog-leaping algorithm
I-Cubid: a nonlinear cubic graph-based approach to visualize and in-depth browse Flickr image results
Parameter optimization of histogram-based local descriptors for facial expression recognition
The evaluation of university management performance using the CS-RBM algorithm
Automated language essay scoring systems: a literature review
ISCCO: a deep learning feature extraction-based strategy framework for dynamic minimization of supply chain transportation cost losses
Research on building extraction from remote sensing imagery using efficient lightweight residual network
Enhancing brain tumor MRI classification with an ensemble of deep learning models and transformer integration
A novel group tour trip recommender model for personalized travel systems
Investigating the impact of vulnerability datasets on deep learning-based vulnerability detectors
Generating adversarial examples without specifying a target model
Pashto offensive language detection: a benchmark dataset and monolingual Pashto BERT
Microscopic parasite malaria classification using best feature selection based on generalized normal distribution optimization
HCGAN: hierarchical contrast generative adversarial network for unpaired sketch face synthesis
GaborNet: investigating the importance of color space, scale and orientation for image classification
Automatic computer science domain multiple-choice questions generation based on informative sentences
Research on image classification method based on improved multi-scale relational network
A majority voting framework for reliable sentiment analysis of product reviews
Novel cross-dimensional coarse-fine-grained complementary network for image-text matching
Convolutional neural networks for road surface classification on aerial imagery
Optimizing a 3D convolutional neural network to detect Alzheimer's disease based on MRI
FLASC: a flare-sensitive clustering algorithm
Identity-based linear homomorphic signature for a restricted combiners' group for e-commerce
Privacy preserved and decentralized thermal comfort prediction model for smart buildings using federated learning
Reconstructing 3D human pose and shape from a single image and sparse IMUs
A lightweight PCB defect detection method based on group convolution and adaptive pruning
Iterative multilinear optimization for planar model fitting under geometric constraints
State-of-the-art artificial intelligence approaches for anomaly detection and remaining useful life prediction: a review
An amalgamation of YOLOv4 and XGBoost for next-gen smart traffic management system
Autonomous vehicle surveillance through fuzzy C-means segmentation and DeepSORT on aerial images
Research on line loss analysis and intelligent diagnosis of abnormal causes in distribution networks: artificial intelligence based method
Rule-ranking method based on item utility in adaptive rule model
ADHDP-based robust self-learning 3D trajectory tracking control for underactuated UUVs
Trade-off between training and testing ratio in machine learning for medical image processing
SPCANet: congested crowd counting via strip pooling combined attention network
Enhancing security in financial transactions: a novel blockchain-based federated learning framework for detecting counterfeit data in fintech
GaitTriViT and GaitVViT: Transformer-based methods emphasizing spatial or temporal aspects in gait recognition
Design of feature selection algorithm for high-dimensional network data based on supervised discriminant projection
Novel grey wolf optimizer based parameters selection for GARCH and ARIMA models for stock price prediction
Vulnerable JavaScript functions detection using stacking of convolutional neural networks
Application of BukaGini algorithm for enhanced feature interaction analysis in intrusion detection systems
A scheme of hiding large-size image into small-size image based on FCdDNet
Modeling LTE-advanced cell capacity estimation using packet bundling and carrier aggregation
Evaluation scheme design of college information construction based on a combined algorithm
Cyberterrorism as a global threat: a review on repercussions and countermeasures
Analysis of the fusion of multimodal sentiment perception and physiological signals in Chinese-English cross-cultural communication: Transformer approach incorporating self-attention enhancement
Citation analysis of computer systems papers
Stochastic computing in convolutional neural network implementation: a review
Multi-step rainfall forecasting using deep learning approach
Efficient online detection of temporal patterns
Hierarchical transformer speech depression detection model research based on Dynamic window and Attention merge
Query sampler: generating query sets for analyzing search engines using keyword research tools
Designing defensive techniques to handle adversarial attack on deep learning based model
AresB-Net: accurate residual binarized neural networks using shortcut concatenation and shuffled grouped convolution
Integrating multimodal clinical data to predict intravenous (IV) fluid utilization: a comparative analysis of natural language processing techniques
Testing convolutional neural network based deep learning systems: a statistical metamorphic approach
Dynamic trajectory index method based on large-scale real-time trajectory data
COVID-19 advising application development for Apple devices (iOS)
Correct and stable sorting for overflow streaming data with a limited storage size and a uniprocessor
Ship space to database: emerging infrastructures for studies of the deep subseafloor biosphere
General retrieval network model for multi-class plant leaf diseases based on hashing
Top-k sentiment analysis over spatio-temporal data
Blockchain support for execution, monitoring and discovery of inter-organizational business processes
A low-cost wireless extension for object detection and data logging for educational robotics using the ESP-NOW protocol
Numerical behavior of NVIDIA tensor cores
Design of a micro-learning framework and mobile application using design-based research
Comparative performance of twelve machine learning models in predicting COVID-19 mortality risk in children: a population-based retrospective cohort study in Brazil
Analyzing patients satisfaction level for medical services using twitter data
Competition and cooperation with virtual players in an exergame
Building extraction from remote sensing images based on multi-scale attention gate and enhanced positional information
DeepCorr: a novel error correction method for 3GS long reads based on deep learning
An advanced error state Kalman filter (ESKF)-based terrain contour matching (TERCOM) method for tracking an aerial vehicle using a low-cost digital elevation map
Intelligent systems for additive manufacturing-based repair in remanufacturing: a systematic review of its potential
AMAY-Net: adaptive multi-scale attention YOLO network for liver and gallbladder segmentation in laparoscopic cholecystectomy
Indoor surface classification for mobile robots
An autonomous framework for interpretation of 3D objects geometric data using 2D images for application in additive manufacturing
Integer particle swarm optimization based task scheduling for device-edge-cloud cooperative computing to improve SLA satisfaction
Modelling the effects of emotional engagement and peer interaction on the continuous intention to use asynchronous e-learning
Effects of using mobile augmented reality for simple interest computation in a financial mathematics course
Multi-replicas integrity checking scheme with supporting probability audit for cloud-based IoT
Prediction of COVID-19 epidemic situation via fine-tuned IndRNN
Generative artificial intelligence and machine learning methods to screen social media content
Using Bidirectional Encoder Representations from Transformers (BERT) to predict criminal charges and sentences from Taiwanese court judgments
PRDAGE: a prescription recommendation framework for traditional Chinese medicine based on data augmentation and multi-graph embedding
MGACA-Net: a novel deep learning based multi-scale guided attention and context aggregation for localization of knee anterior cruciate ligament tears region in MRI images
MS-ANet: deep learning for automated multi-label thoracic disease detection and classification
An efficient intrusion detection system for IoT security using CNN decision forest
Deep learning-driven dyslexia detection model using multi-modality data
A longitudinal inter-vehicle distance controller application for autonomous vehicle platoons
Evolutionary algorithms guided by Erdős-Rényi complex networks
Mobile app review analysis for crowdsourcing of software requirements: a mapping study of automated and semi-automated tools
A hybrid forecasting model using LSTM and Prophet for energy consumption with decomposition of time series data
Syntactic- and morphology-based text augmentation framework for Arabic sentiment analysis
Machine learning and natural language processing to assess the emotional impact of influencers' mental health content on Instagram
Content analysis of social media regarding obesity as a chronic disease
Towards a GDPR-compliant cloud architecture with data privacy controlled through sticky policies
Modeling and management of usage-aware distributed datasets for global Smart City Application Ecosystems
Intelligent toy tracking trajectory design based on mobile cloud terminal deployment and depth-first search algorithm
GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles
Error curves for evaluating the quality of feature rankings
COVID-19 mortality prediction using ensemble learning and grey wolf optimization
Brain tumor segmentation using U-Net in conjunction with EfficientNet
CropGCNN: color space-based crop disease classification using group convolutional neural network
The impact of semantics on aspect level opinion mining
WG-Storm: a resource-aware scheduler for distributed stream processing engines
Art appreciation model design based on improved PageRank and ECA-ResNeXt50 algorithm
On the classification of Microsoft-Windows ransomware using hardware profile
Deep learning based cardiac disorder classification and user authentication for smart healthcare system using ECG signals
Contextual dimensions for cache replacement schemes in information-centric networks: a systematic review
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach
FDup: a framework for general-purpose and efficient entity deduplication of record collections
An ethical visualization of the NorthCOVID-19 model
Nested Markov chain hyper-heuristic (NMHH): a hybrid hyper-heuristic framework for single-objective continuous problems
Financial trading decision model based on deep reinforcement learning for smart agricultural management
Survival analysis in breast cancer: evaluating ensemble learning techniques for prediction
Encoder-decoder convolutional neural network for simple CT segmentation of COVID-19 infected lungs
Using large language models to create narrative events
Blockchain-based cloud manufacturing platforms: A novel idea for service composition in XaaS paradigm
Performance analysis of lightweight CNN models to segment infectious lung tissues of COVID-19 cases from tomographic images
Enhancing behavior classification of children in dynamic interaction scenes through improved DCNN model
Deep reinforcement learning task scheduling method based on server real-time performance
LORM: a novel reinforcement learning framework for biped gait control
A review of methods and software for polygenic risk score analysis
Sharing diverse information gets driver agents to learn faster: an application in en route trip building
Two-stage training algorithm for AI robot soccer
An enhanced genetic algorithm solution for itinerary recommendation considering various constraints
Multi-label emotion classification of Urdu tweets
Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review
An optimal peer selection for peer-to-peer video content distribution using fuzzy linear programming approach
An accurate irrigation volume prediction method based on an optimized LSTM model
Evidential value of country location evidence obtained from IP address geolocation
Multi-label classification for image tamper detection based on Swin-T segmentation network in the spatial domain
From ECG signals to images: a transformation based approach for deep learning
Privacy-preserving k -NN interpolation over two encrypted databases
An improved hippopotamus optimization algorithm based on adaptive development and solution diversity enhancement
Today's computing challenges: opportunities for computer hardware design
Enhanced mechanisms of pooling and channel attention for deep learning feature maps
Enhancing privacy-preserving brain tumor classification with adaptive reputation-aware federated learning and homomorphic encryption
A novel 3D LiDAR deep learning approach for uncrewed vehicle odometry
Emotion classification of artistic images using domain adaptation and transfer learning
Big data clustering techniques based on Spark: a literature review
Automated essay scoring with SBERT embeddings and LSTM-Attention networks
RefactorGPT: a ChatGPT-based multi-agent framework for automated code refactoring
LinkPred: a high performance library for link prediction in complex networks
Bridges in social networks: current status and challenges
Matching sensor ontologies with unsupervised neural network with competitive learning
On the frontiers of Twitter data and sentiment analysis in election prediction: a review
An efficient optimizer for the 0/1 knapsack problem using group counseling
Semantic micro-contributions with decentralized nanopublication services
IRimage: open source software for processing images from infrared thermal cameras
LocustLens: leveraging environmental data fusion and machine learning for desert locust swarm prediction
Mitigating inappropriate concepts in text-to-image generation with attention-guided Image editing
Recognition of opinion leaders in blockchain-based social networks by structural information and content contribution
Deep learning model for deep fake face recognition and detection
Database limitations for studying the human gut microbiome
Predicting hotel booking cancellations using tree-based neural network
Smart grid energy scheduling based on improved dynamic programming algorithm and LSTM
The application of advanced computational algorithms used for cooperative communication transmission of vehicular networks: a proposed method
RARE: right algorithm for the right errand; a multi-model machine learning-based approach for tourism routes and spots recommendation
Differential privacy EV charging data release based on variable window
PlaneNet: an efficient local feature extraction network
Survey on graph embeddings and their applications to machine learning problems on graphs
Enabling blockchain for Saudi Arabia drug supply chain using Internet of Things (IoT)
RPLAD3: anomaly detection of blackhole, grayhole, and selective forwarding attacks in wireless sensor network-based Internet of Things
A bike-sharing demand prediction model based on Spatio-Temporal Graph Convolutional Networks
TARGE: large language model-powered explainable hate speech detection
Improving temporal smoothness and snapshot quality in dynamic network community discovery using NOME algorithm
Achieving model explainability for intrusion detection in VANETs with LIME
Selective oversampling approach for strongly imbalanced data
Improving bioinformatics software quality through incorporation of software engineering practices
A feature-enhanced knowledge graph neural network for machine learning method recommendation
Recommendation algorithm based on attributed multiplex heterogeneous network
PSA-HWT: handwritten font generation based on pyramid squeeze attention
A facial expression recognition network based on attention double branch enhanced fusion
Systematic literature review on the application of machine learning for the prediction of properties of different types of concrete
Exploring perspectives on artificial intelligence: awareness, attitudes, and knowledge among health majors students at Saudi universities
Evolving techniques in sentiment analysis: a comprehensive review
Isolated guitar transcription using a deep belief network
Gamify4LexAmb: a gamification-based approach to address lexical ambiguity in natural language requirements
Customizable pattern synthesis: a deep generative approach for lantern designs
Artificial intelligence and multi agent based distributed ledger system for better privacy and security of electronic healthcare records
A comparative analysis of variants of machine learning and time series models in predicting women's participation in the labor force