yusuke1997/dblp-id-title huggingface dataset:
Application of KPCA and AdaBoost algorithm in classification of functional magnetic resonance imaging of Alzheimer's disease
Cascade 2D attentional decoders with context-enhanced encoder for scene text recognition
Optimized ensemble machine learning cancer classification system for clinical decision-making
An approach for feature selection using local searching and global optimization techniques
Fault distance estimation for transmission lines with dynamic regressor selection
Optimized deep CNN with rotation-driven features for malaria parasite detection
Optimizing deep learning and neural network to explore enterprise technology innovation model
Aerobics posture recognition based on neural network and sensors
Welding robot path planning problem based on discrete MOEA/D with hybrid environment selection
A multimodal dialogue system for improving user satisfaction via knowledge-enriched response and image recommendation
DRI-UNet: dense residual-inception UNet for nuclei identification in microscopy cell images
GCPAN: an adaptive global cross-scale prior attention network for image super-resolution
Diversity-based niche genetic algorithm for bi-objective mixed fleet vehicle routing problem with time window
Design of MC-CDMA receiver using radial basis function network to mitigate multiple access interference and nonlinear distortion
Optimal 3-dimension trajectory-tracking guidance for reusable launch vehicle based on back-stepping adaptive dynamic programming
Machine learning-based gait anomaly detection using a sensorized tip: an individualized approach
An improved method for sink node deployment in wireless sensor network to big data
Judgmentally adjusted Q-values based on Q-ensemble for offline reinforcement learning
K-SVD with reference: an initialization method for dictionary learning
A sketch recognition method based on bi-modal model using cooperative learning paradigm
Hyper-Spherical Search (HSS) algorithm: a novel meta-heuristic algorithm to optimize nonlinear functions
Variational Bayesian extreme learning machine
DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett's esophagus
Damage detection in aircraft engine borescope inspection using deep learning
Machine learning modelling of dew point pressure in gas condensate reservoirs: application of decision tree-based models
Heuristic optimization techniques for connecting renewable distributed generators on distribution grids
p th Moment stability of stochastic neural networks with Markov volatilities
Research of network data mining based on reliability source under big data environment
Estimation of chemical oxygen demand by ultraviolet spectroscopic profiling and artificial neural networks
A review of online learning in supervised neural networks
Hand-based single sample biometrics recognition
A multi-Markovian switching-based strategy for solving the stochastic point location problem
Noise-suppressing zeroing neural network for online solving time-varying nonlinear optimization problem: a control-based approach
Stress monitoring using wearable sensors: IoT techniques in medical field
CSPP-IQA: a multi-scale spatial pyramid pooling-based approach for blind image quality assessment
Deep reinforcement learning framework for end-to-end semiconductor process control
Interactive visual computer vision analysis based on artificial intelligence technology in intelligent education
Detoxifying digital information: harnessing neural networks for cleaner data
Fuzzy qualitative human model for viewpoint identification
A Neural Network Method of Density Estimation for Univariate Unimodal Data
Evolutionary synthetic oversampling technique and cocktail ensemble model for warfarin dose prediction with imbalanced data
Zero-shot classification with unseen prototype learning
Identification of oil authenticity and adulteration using deep long short-term memory-based neural network with seagull optimization algorithm
An enhanced reference vectors-based multi-objective evolutionary algorithm with neighborhood-based adaptive adjustment
Global synchronization of complex networks with discrete time delays and stochastic disturbances
On self-organised aggregation dynamics in swarms of robots with informed robots
Construction of neural distinguishers of the tiny encryption algorithm family block ciphers
Analysis of emergent symmetry breaking in collective decision making
Predictive machine learning approaches for perovskites properties using their chemical formula: towards the discovery of stable solar cells materials
Exploring the major factors affecting fly-ash concrete carbonation using artificial neural network
Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system
Multi-view dual attention network for 3D object recognition
Novel convolutional neural networks for efficient classification of rotated and scaled images
Sparse nonnegative tensor decomposition using proximal algorithm and inexact block coordinate descent scheme
Transfer learning-based quantized deep learning models for nail melanoma classification
DAerosol-NTM: applying deep learning and neural Turing machine in aerosol prediction
Adaptive neural time-varying full-state constraints quantized consensus control for nonlinear multiagent networks systems without feasibility conditions
Comment on "Characterizing interwell connectivity in waterflooded reservoirs using data-driven and reduced-physics models: a comparative study" by E. Artun DOI 10.1007/s00521-015-2152-0
Constructing support vector machine ensemble with segmentation for imbalanced datasets
A feature enhancement network combining UNet and vision transformer for building change detection in high-resolution remote sensing images
Path-tracking control for autonomous vehicles using double-hidden-layer output feedback neural network fast nonsingular terminal sliding mode
Gender bias detection on hate speech classification: an analysis at feature-level
Online Bayesian shrinkage regression
Feasibility of PSO-ANFIS model to estimate rock fragmentation produced by mine blasting
LGND: a new method for multi-class novelty detection
Deep neural network-based hierarchical learning method for dispatch control of multi-regional power grid
A rough margin-based one class support vector machine
Neural network-based damage identification in composite laminated plates using frequency shifts
Robust finite-time H ∞ congestion control for a class of AQM network systems
Capsule network-based disease classification for Vitis Vinifera leaves
Computer-aided diagnosis (CAD) of the skin disease based on an intelligent classification of sonogram using neural network
Signal discrimination using category-preserving bag-of-words model for condition monitoring
Forecast model of perceived demand of museum tourists based on neural network integration
An Improved dynamic self-adaption cuckoo search algorithm based on collaboration between subpopulations
Research on enterprise knowledge service based on semantic reasoning and data fusion
The application of ridge polynomial neural network to multi-step ahead financial time series prediction
Predicting mortality of cancer patients using artificial intelligence, patient data and blood tests
Data-driven management for fuzzy sewage treatment processes using hybrid neural computing
Neural adaptive appointed-time control for flexible air-breathing hypersonic vehicles: an event-triggered case
Multimodal medical image fusion algorithm in the era of big data
Artificial intelligence design charts for predicting friction capacity of driven pile in clay
Exponential stability of stochastic high-order BAM neural networks with time delays and impulsive effects
IR 2 Net: information restriction and information recovery for accurate binary neural networks
Intelligence computation based on adaptive tracking design for a class of non-linear discrete-time systems
An approach for discovery and scheduling replaceable service on edge environment
Application of fuzzy cognitive maps in precision agriculture: a case study on coconut yield management of southern India's Malabar region
A reactive power planning procedure considering iterative identification of VAR candidate buses
Spatiotemporal estimation of TROPOMI NO 2 column with depthwise partial convolutional neural network
Intelligent computing to solve fifth-order boundary value problem arising in induction motor models
MiRNA subset selection for microarray data classification using grey wolf optimizer and evolutionary population dynamics
Special issue on deep learning and big data analytics for medical e-diagnosis/AI-based e-diagnosis
Using Growing RBF-Nets in Rubber Industry Process Control
Analyzing word embeddings and their impact on semantic similarity: through extreme simulated conditions to real dataset characteristics
Syntax-guided question generation using prompt learning
Detection of weather images by using spiking neural networks of deep learning models
A simple but effective span-level tagging method for discontinuous named entity recognition
A framework for flexibly guiding learning agents
Exploiting a fleet of UAVs for monitoring and data acquisition of a distributed sensor network
Leveraging semantic segmentation for hybrid image retrieval methods
Application of evolutionary Gaussian processes regression by particle swarm optimization for prediction of dew point pressure in gas condensate reservoirs
Semi-supervised deep learning based named entity recognition model to parse education section of resumes
Approaches to group decision making based on interval-valued intuitionistic multiplicative preference relations
Application of ELM-Hammerstein model to the identification of solid oxide fuel cells
Enhanced user verification in IoT applications: a fusion-based multimodal cancelable biometric system with ECG and PPG signals
Distributed personalized imputation based on Gaussian mixture model for missing data
Integration of global and local information for text classification
R&D project evaluation and project portfolio selection by a new interval type-2 fuzzy optimization approach
Experimental investigations ANN and GEP modeling of failure load for AA7075-T6/CFRP adhesive bond
A flexible support vector machine for regression
DenseNet with Up-Sampling block for recognizing texts in images
Predicting image credibility in fake news over social media using multi-modal approach
Patenting Neural Networks-An Introduction
RCMAC-based adaptive control design for brushless DC motors
Improving local interpretable classifier explanations exploiting self-generated semantic features
Extreme learning machine model for water network management
Retraction Note: 5G network-oriented machine learning and national forest park ecotourism management
Stock price prediction based on deep neural networks
Computational and physical aspects of MHD Prandtl-Eyring fluid flow analysis over a stretching sheet
Definition, approaches, and analysis of code duplication detection (2006-2020): a critical review
Evaluating robustness of support vector machines with the Lagrangian dual approach
Multistability analysis of switched fractional-order recurrent neural networks with time-varying delay
Gait recognition using multichannel convolution neural networks
Show, tell and summarise: learning to generate and summarise radiology findings from medical images
Classification of incomplete data integrating neural networks and evidential reasoning
Retraction Note: Applications of artificial intelligence and hybrid neural network methods with new bonding method to prevent electroshock risk and insulation faults in high-voltage underground cable lines
Retraction Note: CanarDeep: a hybrid deep neural model with mixed fusion for rumour detection in social data streams
Biomimicry of plant root growth using bioinspired foraging model for data clustering
ARDIS: a Swedish historical handwritten digit dataset
The feasibility of PSO-ANFIS in estimating bearing capacity of strip foundations rested on cohesionless slope
Diagnostic system with an artificial neural network in diagnostics of an analogue technical object
Generalized self-tuning regulator based on online support vector regression
Robust3D: a robust 3D face reconstruction application
Deep learning-based localization and segmentation of wrist fractures on X-ray radiographs
An artificial neural-network model for impact properties in X70 pipeline steels
TINYCD: a (not so) deep learning model for change detection
Point-of-care diagnosis of bacterial pathogens in vitro, utilising an electronic nose and wavelet neural networks
New result on convergence for HCNNs with time-varying leakage delays
Human action recognition with bag of visual words using different machine learning methods and hyperparameter optimization
Real-time internet of medical things framework for early detection of Covid-19
Improved adaptive graph local spatial-temporal multi-head self-attention network: a deep learning framework for flight delay prediction
Neuro-fuzzy predictive model for surface roughness and cutting force of machined Al-20 Mg 2 Si-2Cu metal matrix composite using additives
Long Range Predictive Control of Nonlinear Processes Based on Recurrent Neuro-Fuzzy Network Models
Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals
A Hierarchical Evolutionary Algorithm for Constructing and Training Wavelet Networks
Domain adaptation based on source category prototypes
Arrhythmia diagnosis of young martial arts athletes based on deep learning for smart medical care
A novel clustering algorithm based on PageRank and minimax similarity
EnParaNet: a novel deep learning architecture for faster prediction using low-computational resource devices
DC-DC converters design using a type-2 wavelet fuzzy cerebellar model articulation controller
Generating ten BCI commands using four simple motor imageries and classification by divergence-based DNN
Multiple attribute group decision making using J-divergence and evidential reasoning theory under intuitionistic fuzzy environment
A novel result on H ∞ performance state estimation for Markovian neural networks with time-varying transition rates
First application of symbiotic organisms search algorithm to off-line optimization of PI parameters for DSP-based DC motor drives
Effects of nonlinear Rosseland thermal radiation on MHD steady wall jet flow
Multi-scale attention vehicle re-identification
Structures generated in a multiagent system performing information fusion in peer-to-peer resource-constrained networks
Automatic landslide detection and visualization by using deep ensemble learning method
Assessing the viability of the gig economy framework for the nursing workforce in Saudi Arabia: A neural network approach
Incremental class learning using variational autoencoders with similarity learning
Research on real estate pricing methods based on data mining and machine learning
Sine-cosine algorithm for feature selection with elitism strategy and new updating mechanism
Development and application of an efficient optimizer for optimal coordination of directional overcurrent relays
Improving question answering over incomplete knowledge graphs with relation prediction
Representation learning with deep extreme learning machines for efficient image set classification
Augmented electric eel foraging optimization algorithm for feature selection with high-dimensional biological and medical diagnosis
Prediction of temperature anomaly in Indian Ocean based on autoregressive long short-term memory neural network
An in-depth examination of artificial intelligence-based methods for optimal power flow solutions
An adaptive local linear optimized radial basis functional neural network model for financial time series prediction
Temporal attention augmented transformer Hawkes process
A Note on Time Delayed Effect in a Recurrent Neural Network Model
The effect of reduced training in neural architecture search
A Comparison of Cox Regression and Neural Networks for Risk Stratification in Cases of Acute Lymphoblastic Leukaemia in Children
Two-view LSTM variational auto-encoder for fault detection and diagnosis in multivariable manufacturing processes
Proposed neural SAE-based medical image cryptography framework using deep extracted features for smart IoT healthcare applications
Deep neural learning techniques with long short-term memory for gesture recognition
Intelligent deep learning framework for cache pollution threatening detection using named data networking
Recurrent neural network-based prediction of compressive and flexural strength of steel slag mixed concrete
Calculation of work roll initial crown based on desired strip profile in hot rolling
Computational models for inferring biochemical networks
Ensemble weighted extreme learning machine for imbalanced data classification based on differential evolution
Almost periodic dynamics of the delayed complex-valued recurrent neural networks with discontinuous activation functions
An extended MAIRCA method using intuitionistic fuzzy sets for coronavirus vaccine selection in the age of COVID-19
Inverse partitioned matrix-based semi-random incremental ELM for regression
An efficient neural-network model for real-time fault detection in industrial machine
Event-triggered network congestion control of TCP/AWM systems
Correlation measure of hesitant fuzzy soft sets and their application in decision making
A dynamic neural network model for accelerating preliminary parameterization of 3D triangular mesh surfaces
Filter pruning via expectation-maximization
Novel error correction-based key frame extraction technique for dynamic hand gesture recognition
DIGI-Net: a deep convolutional neural network for multi-format digit recognition
A novel approach to color normalization using neural network
Few-shot learning for modeling cyber physical systems in non-stationary environments
Enhancing aviation safety and efficiency: applying artificial intelligence (AI) to address navigational challenges
Early drowsiness detection model in autonomous vehicles using GAN and YOLO integration
Automated product grade transitions, exposing the inherent and latent dangers of neural networks in manufacturing process control: an industrial case study
Exploring Chinese word embedding with similar context and reinforcement learning
Identification of downhole conditions in geological drilling processes based on quantitative trends and expert rules
Metaverse token price forecasting using artificial neural networks (ANNs) and Adaptive neural fuzzy inference system (ANFIS)
Impact of inclined Lorentz forces on tangent hyperbolic nanofluid flow with zero normal flux of nanoparticles at the stretching sheet
Dynamic bias alignment and discrimination enhancement for unsupervised domain adaptation
A new classification method for diagnosing COVID-19 pneumonia based on joint CNN features of chest X-ray images and parallel pyramid MLP-mixer module
Opposition-based antlion optimizer using Cauchy distribution and its application to data clustering problem
Image denoising algorithm based on the convolution of fractional Tsallis entropy with the Riesz fractional derivative
Multi-disease big data analysis using beetle swarm optimization and an adaptive neuro-fuzzy inference system
Bifurcation analysis of a cellular nonlinear network model via neural network approach
Supervised multiview learning based on simultaneous learning of multiview intact and single view classifier
VDNet: video deinterlacing network based on coarse adaptive module and deformable recurrent residual network
Stationary oscillation of interval fuzzy cellular neural networks with mixed delays under impulsive perturbations
Time-encoded multiplication-free spiking neural networks: application to data classification tasks
Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images
Hybrid and hierarchical fusion networks: a deep cross-modal learning architecture for action recognition
Enhancement of GWO for solving numerical functions and engineering problems
Effect of learning strategies in an evolutionary method: the case of the bi-objective quadratic multiple knapsack problem
Signals classification based on IA-optimal CNN
Neural network prediction model for a real-time data transmission
Research on structural dynamics in Chinese automobile standard citation network
Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine and deep learning framework
Reinforcement learning-based online adaptive controller design for a class of unknown nonlinear discrete-time systems with time delays
Efficient and lightweight CNN model for COVID-19 diagnosis from CT and X-ray images using customized pruning and quantization techniques
Retraction Note: Comparative analysis of time series model and machine testing systems for crime forecasting
Deep-CNWO: a deep-chaotic nature whale optimization algorithm for early prediction of blood pressure disorder in smart healthcare settings
Probabilistic wind power forecasting using a novel hybrid intelligent method
A multi-level methodology for the automated translation of a coreference resolution dataset: an application to the Italian language
A Hopfield neural network with multi-compartmental activation
Optimizing deadline violation time and energy consumption of IoT jobs in fog-cloud computing
Adaptive functional-based neuro-fuzzy PID incremental controller structure
The isolation layered optimization algorithm of MIMO polygonal fuzzy neural network
Genetic neural-based modeling of AC resistance of heating coil used for high-frequency inverter-fed induction cooker
A study of progressive data flow knowledge tracing based on reconstructed attention mechanism
PDS-MCNet: a hybrid framework using MobileNetV2 with SiLU6 activation function and capsule networks for disease severity estimation in plants
Segmentation and classification of breast cancer using novel deep learning architecture
Event-triggered synchronization adaptive learning control of nonlinear multi-agent systems with resilience to communication link faults
DGM: a data generative model to improve minority class presence in anomaly detection domain
A novel hybrid-maximum neural network in stereo-matching process
Efficient anomaly detection through surrogate neural networks