yusuke1997/dblp-id-title huggingface dataset:
Background subtraction for night videos
Landmark-free, parametric hypothesis tests regarding two-dimensional contour shapes using coherent point drift registration and statistical parametric mapping
Sequential lexicon enhanced bidirectional encoder representations from transformers: Chinese named entity recognition using sequential lexicon enhanced BERT
Machine learning based framework for fine-grained word segmentation and enhanced text normalization for low resourced language
Using social media advertisement data to monitor the gender gap in STEM: opportunities and challenges
A particle swarm optimization algorithm based on an improved deb criterion for constrained optimization problems
Design and evaluation of an e-governance ICT solution to empower the non-literate vegetable market consumers
Frameworks for developing an Agro-Prosumer Community Group platform
Actuator behaviour modelling in IoT-Fog-Cloud simulation
Adaptive automation: automatically (dis)engaging automation during visually distracted driving
A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks
Environment aware greedy deployment strategy for underwater acoustic sensor networks using bathymetric mapping and transmission loss modeling
Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling
Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models
Intelligent scaling for 6G IoE services for resource provisioning
Epileptic seizures diagnosis and prognosis from EEG signals using heterogeneous graph neural network
A transformer-based deep learning framework to predict employee attrition
Natural language processing for analyzing online customer reviews: a survey, taxonomy, and open research challenges
Prediction of temperature distribution in a furnace using the incremental deep extreme learning machine
Deep learning prediction of mild cognitive impairment conversion to Alzheimer's disease at 3 years after diagnosis using longitudinal and whole-brain 3D MRI
Emerging framework for attack detection in cyber-physical systems using heuristic-based optimization algorithm
Hybrid decision support system disaster management: application of lattice ordered q-rung linear Diophantine fuzzy hypersoft sets
SLFCNet: an ultra-lightweight and efficient strawberry feature classification network
Pavement defect detection algorithm SSC-YOLO for fusing multiscale spatial channels in YOLOv8
Application of big data and artificial intelligence in visual communication art design
A semi-automatic motion-constrained Graph Cut algorithm for Pedestrian Detection in thermal surveillance videos
Robust adaptive PD-like control of lower limb rehabilitation robot based on human movement data
A game-theoretic model for the classification of selected oil companies' price changes
A lightweight and secure online/offline cross-domain authentication scheme for VANET systems in Industrial IoT
PATACSDB - the database of polyA translational attenuators in coding sequences
A secure key dependent dynamic substitution method for symmetric cryptosystems
A multi-scale CNN with atrous spatial pyramid pooling for enhanced chest-based disease detection
An English course practice evaluation system based on multi-source mobile information and IoT technology
Fuzzy multi-objective optimization model to design a sustainable closed-loop manufacturing system
IMU-aided adaptive mesh-grid based video motion deblurring
CyberEduPlatform: an educational tool to improve cybersecurity through anomaly detection with Artificial Intelligence
Dynamic bandwidth allocation in time division multiplexed passive optical networks: a dual-standard analysis of ITU-T and IEEE standard algorithms
Research on digital copyright protection based on the hyperledger fabric blockchain network technology
Fake news detection in Urdu language using machine learning
Structural health monitoring of aircraft through prediction of delamination using machine learning
Relational graph convolutional networks: a closer look
FFENet: frequency-spatial feature enhancement network for clothing classification
Design and implementation of an intelligent sports management system (ISMS) using wireless sensor networks
The effect of hair removal and filtering on melanoma detection: a comparative deep learning study with AlexNet CNN
Matrix Depot: an extensible test matrix collection for Julia
Convolutional neural network-based ensemble methods to recognize Bangla handwritten character
A new extension of Poisson distribution for asymmetric count data: theory, classical and Bayesian estimation with application to lifetime data
Optimizing agricultural data security: harnessing IoT and AI with Latency Aware Accuracy Index (LAAI)
DDSUD: dynamically detecting subsequence uncertainty and diversity for active learning in imbalanced Chinese sentiment analysis
Sentiment analysis of vegan related tweets using mutual information for feature selection
Applications, challenges, and solutions of unmanned aerial vehicles in smart city using blockchain
Assistive technology: autonomous wheelchair in obstacle-ridden environment
Optimal tuning of multi-PID controller using improved CMOCSO algorithm
Kinship identification using age transformation and Siamese network
Evaluating the efficacy of AI-driven intrusion detection systems in IoT: a review of performance metrics and cybersecurity threats
ADID-UNET - a segmentation model for COVID-19 infection from lung CT scans
Solving optimization problems simultaneously: the variants of the traveling salesman problem with time windows using multifactorial evolutionary algorithm
Probability-boosting technique for combinatorial optimization
Bridging resource gaps in cross-lingual sentiment analysis: adaptive self-alignment with data augmentation and transfer learning
Research on intelligent registration methods for multidimensional visual communication projection transform images
Multiangle perception-oriented environmental facility design method based on joint fuzzy decision-making and transfer learning
A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans
Uncovering hidden genetic risk factors for breast and ovarian cancers in BRCA-negative women: a machine learning approach in the Saudi population
YOLOv8n-DDSW: an efficient fish target detection network for dense underwater scenes
The experience of a tele-operated avatar being touched increases operator's sense of discomfort
A filter design for T-S fuzzy systems based on moving horizon estimator with measurement noise
Improving patient rehabilitation performance in exercise games using collaborative filtering approach
Overview of current state of research on the application of artificial intelligence techniques for COVID-19
Detecting Parkinson's disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics
Machine learning applications to predict two-phase flow patterns
Advanced deep learning and transfer learning approaches for breast cancer classification using advanced multi-line classifiers and datasets with model optimization and interpretability
Object-based multiscale segmentation incorporating texture and edge features of high-resolution remote sensing images
IoMT based smart healthcare system to control outbreaks of the COVID-19 pandemic
Comparing variable neighbourhood search algorithms for the direct aperture optimisation in radiotherapy
Taking advantage of the software product line paradigm to generate customized user interfaces for decision-making processes: a case study on university employability
Facial expression morphing: enhancing visual fidelity and preserving facial details in CycleGAN-based expression synthesis
Teaching programming using eduScrum methodology
Risk assessment for commercial crime and legal protection based on modularity-optimized LM and SCA-optimized CNN
CNN-GMM approach to identifying data distribution shifts in forgeries caused by noise: a step towards resolving the deepfake problem
Motivational strategies and approaches for single and multi-player exergames: a social perspective
IoT in urban development: insight into smart city applications, case studies, challenges, and future prospects
A laboratory experiment on using different financial-incentivization schemes in software-engineering experimentation
Fast2Vec, a modified model of FastText that enhances semantic analysis in topic evolution
A software for parameter optimization with Differential Evolution Entirely Parallel method
Termite inspired algorithm for traffic engineering in hybrid software defined networks
Image based visual servoing with kinematic singularity avoidance for mobile manipulator
Analyzing perceptions of a global event using CNN-LSTM deep learning approach: the case of Hajj 1442 (2021)
Attribute identification based IoT fog data security control and forwarding
A hybrid model based on CNN-LSTM for assessing the risk of increasing claims in insurance companies
A machine learning framework for the prediction of chromatin folding in Drosophila using epigenetic features
Autoregressive translation model design integrating syntactic encoding computation and reinforcement learning: a framework for enhancing translation optimization
AutoSCAN: automatic detection of DBSCAN parameters and efficient clustering of data in overlapping density regions
Event classification from the Urdu language text on social media
Bi-objective trail-planning for a robot team orienteering in a hazardous environment
Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT
Blockchain-enabled data governance for privacy-preserved sharing of confidential data
Dynamic frequent subgraph mining algorithms over evolving graphs: a survey
DAFuzz: data-aware fuzzing of in-memory data stores
VIOLA jones algorithm with capsule graph network for deepfake detection
Natural language understanding of map navigation queries in Roman Urdu by joint entity and intent determination
Optimizing e-commerce warehousing through open dimension management in a three-dimensional bin packing system
Estimation of maize LCC and FVC for full growth periods based on UAV remote sensing and ensemble learning
Cluster channel equalization using adaptive sensing and reinforcement learning for UAV communication
Looking for related posts on GitHub discussions
OES-Fed: a federated learning framework in vehicular network based on noise data filtering
Word embedding empowered topic recognition in news articles
A wave delay neural network for solving label-constrained shortest route query on time-varying communication networks
Simulation methods realized by virtual reality modeling language for 3D animation considering fuzzy model recognition
GAC3D: improving monocular 3D object detection with ground-guide model and adaptive convolution
Live software documentation of design pattern instances
ABCDE: Approximating Betweenness-Centrality ranking with progressive-DropEdge
SUTrans-NET: a hybrid transformer approach to skin lesion segmentation
Mapping ISO 19115-1 geographic metadata standards to CodeMeta
A multi-stage heuristic method for service caching and task offloading to improve the cooperation between edge and cloud computing
Automatic differentiation of uncertainties: an interval computational differentiation for first and higher derivatives with implementation
An enhanced BERT model with improved local feature extraction and long-range dependency capture in promoter prediction for hearing loss
Hierarchical semantic interaction-based deep hashing network for cross-modal retrieval
Enhancing skin lesion classification: a CNN approach with human baseline comparison
A genetic programming-based ensemble method for long-term electricity demand forecasting
Comprehensive evaluation for the sustainable development of fresh agricultural products logistics enterprises based on combination empowerment-TOPSIS method
Simultaneous, vision-based fish instance segmentation, species classification and size regression
A novel trace-based sampling method for conformance checking
SFTA-Net: a self-supervised approach to detect copy-move and splicing forgery to leverage triplet loss, auxiliary loss, and spatial attention
Improved BCI calibration in multimodal emotion recognition using heterogeneous adversarial transfer learning
Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study
Comparative evaluation of approaches & tools for effective security testing of Web applications
Face-voice based multimodal biometric authentication system via FaceNet and GMM
Optimizing implementations of linear layers using two and higher input XOR gates
Intent aware data augmentation by leveraging generative AI for stress detection in social media texts
Corn grain year identification based on Raman spectroscopy and machine learning
Towards reliable healthcare Imaging: conditional contrastive generative adversarial network for handling class imbalancing in MR Images
Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices
Randomness analysis of end-to-end delay in random forwarding networks
A feature selection method utilizing path accumulation cost, redundancy minimization, and interaction maximization for the diagnosis of coronary heart disease
A hybrid model integrating recurrent neural networks and the semi-supervised support vector machine for identification of early student dropout risk
Sentiment analysis techniques, challenges, and opportunities: Urdu language-based analytical study
KBPT: knowledge-based prompt tuning for zero-shot relation triplet extraction
Traditional art design expression based on embedded system development
Investigating toxicity changes of cross-community redditors from 2 billion posts and comments
State-of-the-art IoV trust management a meta-synthesis systematic literature review (SLR)
Software engineering principles to improve quality and performance of R software
An efficient filter with low memory usage for multimedia data of industrial Internet of Things
Sim-DRS: a similarity-based dynamic resource scheduling algorithm for microservice-based web systems
Accessibility challenges of e-commerce websites
Who is in the sample? An analysis of real and surrogate users as participants in user study research in the information technology fields
Web content topic modeling using LDA and HTML tags
Indexing labeled sequences
Classification of psychiatry clinical notes by diagnosis: a deep learning and machine learning approach
Using transformers and Bi-LSTM with sentence embeddings for prediction of openness human personality trait
Software process improvement: a systematic mapping study on the state of the art
Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure
AraCust: a Saudi Telecom Tweets corpus for sentiment analysis
Automated guided vehicle (AGV) path optimization method based on improved rapidly-exploring random trees
A Gaussian SVR-based intelligent framework for investment risk assessment in green finance
Anomaly prediction of Internet behavior based on generative adversarial networks
PyMC: a modern, and comprehensive probabilistic programming framework in Python
Descriptive analysis of dental X-ray images using various practical methods: A review
Equity distribution of quality evaluation reports to doctors in health care organizations
A vector database solution for rational design of CRISPR defense-avoidant phage therapy
Supply chain resource scheduling optimization of e-commerce enterprises in international trade based on mobile edge computing
Leveraging sentiment analysis of food delivery services reviews using deep learning and word embedding
ASAVACT: Arabic sentiment analysis for vaccine-related COVID-19 tweets using deep learning
Art design integrating visual relation and affective semantics based on Convolutional Block Attention Mechanism-generative adversarial network model
Real-time individual identification and recognition of Khorat snail-eating turtle Malayemys khoratensis using directional weight YOLOv8 for characteristic patterns finding
On the effectiveness of multi-feature evacuation systems: an agent-based exploratory simulation study
Ensuring reliability in electronic examinations through UPPAAL-based trustworthy design
Honey bee inspired resource allocation scheme for IoT-driven smart healthcare applications in fog-cloud paradigm
A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications
A hybrid CNN-GRU model with XAI-Driven interpretability using LIME and SHAP for static analysis in malware detection
SGCL-DPI: structure-guided curriculum learning for drug-protein interaction prediction
Utilizing the YOLOv8 model for accurate hand recognition with complex background
A novel network security situation assessment model based on multiple strategies whale optimization algorithm and bidirectional GRU
Adaptive multi-source domain collaborative fine-tuning for transfer learning
A semi-permeable attention network for ESG score prediction
Research on intelligent file management system: a design strategy based on RFID technology and improved AICT algorithm
A novel steganography method for binary and color halftone images
Deep learning-based automation framework for detecting multiple human disabilities in secure medical imaging systems
Detecting and forecasting cryptojacking attack trends in Internet of Things and wireless sensor networks devices
Ordinal losses for classification of cervical cancer risk
Structural-topic aware deep neural networks for information cascade prediction
Protection of the patient data against intentional attacks using a hybrid robust watermarking code
A 3D deep learning approach to epicardial fat segmentation in non-contrast and post-contrast cardiac CT images
Detection of offensive content in the Kazakh language using machine learning and deep learning approaches
Natural language processing with transformers: a review
Automated black-box boundary value detection
A crowd clustering prediction and captioning technique for public health emergencies
Feature selection of EEG signals in neuromarketing
Daily natural gas load prediction method based on APSO optimization and Attention-BiLSTM
Recognition of human action for scene understanding using world cup optimization and transfer learning approach
V2I-VTL: IoT-Enabled adaptive traffic light controller and emission reduction at intersection
Research on channel estimation based on joint perception and deep enhancement learning in complex communication scenarios
Rider weed deep residual network-based incremental model for text classification using multidimensional features and MapReduce
Deep learning model for gastrointestinal polyp segmentation
PGLD-YOLO: a lightweight algorithm for pomegranate fruit localisation and recognition
LSPConv: local spatial projection convolution for point cloud analysis
Novel approach for quantitative and qualitative authors research profiling using feature fusion and tree-based learning approach
Approaching the bi-objective critical node detection problem with a smart initialization-based evolutionary algorithm
Tolerance-based interaction: a new model targeting opinion formation and diffusion in social networks
COMICS: a community property-based triangle motif clustering scheme
Aligning to the teacher: multilevel feature-aligned knowledge distillation
3D visualization model construction based on generative adversarial networks
EPypes: a framework for building event-driven data processing pipelines
Model predictive path integral for decentralized multi-agent collision avoidance
Code stylometry vs formatting and minification
Sustainable computational science: the ReScience initiative
SODU2-NET: a novel deep learning-based approach for salient object detection utilizing U-NET
Data-driven sales optimization with regression and chaotic pattern search
Personalization-based deep hybrid E-learning model for online course recommendation system
Unleashing the power of AI in detecting metal surface defects: an optimized YOLOv7-tiny model approach
Gradient pooling distillation network for lightweight single image super-resolution reconstruction
Pick-up point recommendation strategy based on user incentive mechanism
The benefits of social insurance system prediction using a hybrid fuzzy time series method
ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19
A bio-inspired adaptive model for search and selection in the Internet of Things environment
Automated lesion detection in cotton leaf visuals using deep learning
LLM-powered threat intelligence: a retrieval-augmented generation approach for cyber attack investigation
Object-oriented building extraction based on visual attention mechanism
EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection
Transport Layer Security 1.0 handshake protocol formal verification case study: How to use a proof script generator for existing large proof scores
A blockchain-based traceable and secure data-sharing scheme
Cyber-attack method and perpetrator prediction using machine learning algorithms
Evaluating deep learning variants for cyber-attacks detection and multi-class classification in IoT networks
Social+Me: a persuasive application to increase communication between students and their support networks in Southern Chile
Dynamic sampling of images from various categories for classification based incremental deep learning in fog computing
Multiscale attention-based network to enhance detection and classification of autism spectrum disorders using convolutional neural network
Self-supervised global context graph neural network for session-based recommendation
A deep descriptor for cross-tasking EEG-based recognition
Mitigating adversarial manipulation in LLMs: a prompt-based approach to counter Jailbreak attacks (Prompt-G)
GDPRValidator: a tool to enable companies using cloud services to be GDPR compliant
A systematic hybrid machine learning approach for stress prediction
Intelligent control strategy for industrial furnaces based on yield classification prediction using a gray relative correlation-convolutional neural network-multilayer perceptron (GCM) machine learning model
AndroAnalyzer: android malicious software detection based on deep learning
PostGIS-powered proximity queries: implementation and Google Maps visualization
A collaborative data storage with incentive mechanism for blockchain-based IoV
Artificial intelligence approaches and mechanisms for big data analytics: a systematic study
Smart waste management and classification system using advanced IoT and AI technologies
Advanced neural network-based model for predicting court decisions on child custody
Bidirectional matching and aggregation network for few-shot relation extraction
A hybrid approach based on k-means and SVM algorithms in selection of appropriate risk assessment methods for sectors
Self-aware cycle curriculum learning for multiple-choice reading comprehension
Classification and prediction of spinal disease based on the SMOTE-RFE-XGBoost model
Effective sentence-level relation extraction model using entity-centric dependency tree
PluDG: enhancing task-oriented dialogue system with knowledge graph plug-in module
Wall segmentation in 2D images using convolutional neural networks
E-MFNN: an emotion-multimodal fusion neural network framework for emotion recognition
Evaluating the integration of Esper complex event processing engine and message brokers
Fine-tuned deep transfer learning: an effective strategy for the accurate chronic kidney disease classification
A novel artificial intelligence-based predictive analytics technique to detect skin cancer
Investigating cross-lingual training for offensive language detection
Enhancing knee osteoarthritis detection with AI, image denoising, and optimized classification methods and the importance of physical therapy methods
Fuzzy-based optimization of AODV routing for efficient route in wireless mesh networks