yusuke1997/dblp-id-title huggingface dataset:
Discounted least squares-improved circular back-propogation neural networks with applications in time series prediction
Deep cross-modal discriminant adversarial learning for zero-shot sketch-based image retrieval
Coupled Conditional Neural Movement Primitives
Shape space estimation by higher-rank of SOM
Integration of support vector regression and grey wolf optimization for estimating the ultimate bearing capacity in concrete-filled steel tube columns
Neural network models for group behavior prediction: a case of soccer match attendance
Improved algorithms for interference suppression in non-contiguous orthogonal frequency division multiplexing-based cognitive radio systems
Multi-objective cell configuration considering part quality and machine compatibility
Correction to: Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm
On biologically inspired predictions of the global financial crisis
Cross-domain object detection by local to global object-aware feature alignment
Corpus machine translation system based on compaction algorithm and self-attention mechanism model
Binary improved white shark algorithm for intrusion detection systems
On the empirical performance of different covariance-matrix forecasting methods
Prediction of phosphorus content of electroless nickel-phosphorous coatings using artificial neural network modeling
A promotive structural balance model based on reinforcement learning for signed social networks
Sparse sample self-representation for subspace clustering
Semi-supervised fuzzy neighborhood preserving analysis for feature extraction in hyperspectral remote sensing images
Adaptive uncertainty compensation-based nonlinear model predictive control with real-time applications
Multidimensional relational knowledge embedding for coreference resolution
A trust-based large-scale group decision making consensus reaching framework for intercity railway public-private partnership model selection
Classifying distinct emotions from parents of ASD child using EEG source data by combining Bernoulli-Laplace Prior and graph neural networks
Newborn footprint recognition using orientation feature
ArcMask: a robust and fast image-based method for high-speed railway pantograph-catenary arcing instance segmentation
Heat and mass transfer in a micropolar fluid with Newtonian heating: an exact analysis
Development of chaotically improved meta-heuristics and modified BP neural network-based model for electrical energy demand prediction in smart grid
Statistical analysis of blood characteristics of COVID-19 patients and their survival or death prediction using machine learning algorithms
Image Segmentation with the SOLNN Unsupervised Logic Neural Network
Twin-parametric margin support vector machine with truncated pinball loss
Identification of autonomous nonlinear dynamical system based on discrete-time multiscale wavelet neural network
Robust real-time emotion detection system using CNN architecture
Discrete-time neural network with two classes of bias noises for solving time-variant matrix inversion and application to robot tracking
Interpretable Bayesian network abstraction for dimension reduction
Three-day forecasting of greenhouse gas CH 4 in the atmosphere of the Arctic Belyy Island using discrete wavelet transform and artificial neural networks
Modeling shear strength of medium- to ultra-high-strength steel fiber-reinforced concrete beams using artificial neural network
A PKI without TTP based on conditional trust in blockchain
Stacked neural networks for predicting the membranes performance by treating the pharmaceutical active compounds
Fault diagnosis of air handling unit via combining probabilistic slow feature analysis and attention residual network
Development of intelligent healthcare system based on ambulatory blood pressure measuring device
Prediction of rockburst hazard based on particle swarm algorithm and neural network
Recurrent multi-level residual and global attention network for single image deraining
Hybrid artificial neural network
Enhancement and segmentation of medical images through pythagorean fuzzy sets-An innovative approach
Global robust stability of uncertain delayed neural networks with discontinuous neuron activation
A hybrid framework for smile detection in class imbalance scenarios
Scheduling of printed circuit board (PCB) assembly systems with heterogeneous processors using simulation-based intelligent optimization methods
Database resource integration of shared cloud platform based on RAC architecture
Evolving neuro-fuzzy network for real-time high impedance fault detection and classification
AW-GAN: face aging and rejuvenation using attention with wavelet GAN
ImplantFormer: vision transformer-based implant position regression using dental CBCT data
Content-based image retrieval for categorized dataset by aggregating gradient and texture features
The effect of rebalancing techniques on the classification performance in cyberbullying datasets
Artificial intelligence approach to classify unipolar and bipolar depressive disorders
Learning inverse dynamics for human locomotion analysis
The Mode-Fisher pooling for time complexity optimization in deep convolutional neural networks
Designing pulse-coupled neural networks with spike-synchronization-dependent plasticity rule: image segmentation and memristor circuit application
Face recognition based on fusion of multi-resolution Gabor features
Lagrangian twin parametric insensitive support vector regression (LTPISVR)
Multi-level context-driven interaction modeling for human future trajectory prediction
Ground-truth generation through crowdsourcing with probabilistic indexes
A tuned NSGA-II to optimize the total cost and service level for a just-in-time distribution network
Multi-agent learning algorithms for content placement in cache-enabled small cell networks: 4G and 5G use cases
A background-aware correlation filter with adaptive saliency-aware regularization for visual tracking
A forecasting method of forest pests based on the rough set and PSO-BP neural network
Evaluation of neural network performance and generalisation using thresholding functions
Exponential stability analysis for delayed complex-valued memristor-based recurrent neural networks
On Lagrangian twin support vector regression
Classification of Saudi Coffee beans using a mobile application leveraging squeeze vision transformer technology
Optimal neighborhood kernel clustering with adaptive local kernels and block diagonal property
Improving Chinese word segmentation with character-lexicon class attention
Linear and nonlinear stochastic distribution for consensus problem in multi-agent systems
Dragonfly-based swarm system model for node identification in ultra-reliable low-latency communication
Unlocking autistic emotions: developing an interpretable IoT-based EfficientNet model for emotion recognition in children with autism
Fractional-order PID controller tuning using continuous state transition algorithm
Adaptive neural network output feedback control of stochastic nonlinear systems with dynamical uncertainties
Deep GraphSAGE-based recommendation system: jumping knowledge connections with ordinal aggregation network
Trajectory tracking control for underactuated unmanned surface vehicle subject to uncertain dynamics and input saturation
Predictive modeling for mitigating fugitive emissions in industrial valve seal stacks: a comparative analysis of configuration efficacies
Consensus problems for multi-agent systems with nonlinear algorithms
An efficient traffic sign recognition based on graph embedding features
A study of hybrid data selection method for a wavelet SVR mid-term load forecasting model
A novel 3D shape classification algorithm: point-to-vector capsule network
Learning visual representations with optimum-path forest and its applications to Barrett's esophagus and adenocarcinoma diagnosis
Automatic scene generation using sentiment analysis and bidirectional recurrent neural network with multi-head attention
Research on context-aware group recommendation based on deep learning
Opposite scoring: focusing the tuning process of evolutionary calibrator
Earliest deadline first scheduling technique for different networks in network control system
Retraction Note: A comparative study on parameters of leaf-shaped patch antenna using hybrid artificial intelligence network models
Text synthesis from keywords: a comparison of recurrent-neural-network-based architectures and hybrid approaches
Utilizing deep learning models in CSI-based human activity recognition
Further results on dissipativity analysis for Markovian jump neural networks with randomly occurring uncertainties and leakage delays
R DP OD: an unsupervised approach for outlier detection
Fuzzy logic-based prediction of compressive strength of lightweight geopolymers
A multi-matcher system based on knuckle-based features
Feature Selection Using Probabilistic Neural Networks
TD-LSTM: a time distributed and deep-learning-based architecture for classification of motor imagery and execution in EEG signals
An integrated model based on deep kernel extreme learning machine and variational mode decomposition for day-ahead electricity load forecasting
Observer-based adaptive finite-time prescribed performance NN control for nonstrict-feedback nonlinear systems
A novel dynamic recurrent functional link neural network-based identification of nonlinear systems using Lyapunov stability analysis
Structural recurrent neural network models for earthquake prediction
Detecting deception: employing deep neural networks for fraudulent review detection on Amazon
A new approach for intrusion detection system based on training multilayer perceptron by using enhanced Bat algorithm
Conditioned fully convolutional denoising autoencoder for multi-target NILM
Retraction Note: Optimal body mass index cutoff point for cardiovascular disease and high blood pressure
Ranking the effect of chronodisruption-based biomarkers in reproductive health
A novel human action recognition using Grad-CAM visualization with gated recurrent units
DVPPIR: privacy-preserving image retrieval based on DCNN and VHE
Deep ensemble learning for osteoporosis diagnosis from knee X-rays: a preliminary cohort study in Kashmir valley
Correction: Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images
Automatic identification of epileptic seizure signal using optimized added kernel support vector machine (OAKSVM)
Almost periodic solutions of retarded SICNNs with functional response on piecewise constant argument
A fuzzy reinforcement learning approach to thermal unit commitment problem
A survey of software and hardware use in artificial neural networks
Differential analysis of alternative splicing events in gene regions using residual neural networks
A novel approach using explainable prediction of default risk in peer-to-peer lending based on machine learning models
Interpreting open-domain dialogue generation by disentangling latent feature representations
An optimized SVM-k-NN currency exchange forecasting model for Indian currency market
Correlation Structure of Training Data and the Fitting Ability of Back Propagation Networks: Some Experimental Results
Multiclass sentiment analysis on COVID-19-related tweets using deep learning models
A dual decomposition strategy for large-scale multiobjective evolutionary optimization
Improvement of borrowing channel assignment for patterned traffic load by online cellular probabilistic self-organizing map
Training neural networks with a self-adaptive ant colony algorithm
The monarch butterfly optimization algorithm for solving feature selection problems
Salp swarm algorithm-based model predictive controller for frequency regulation of solar integrated power system
Covering-based rough set classification system
A lightweight relation network for few-shots classification of hyperspectral images
Simulation investigation of autonomous route planning for unmanned aerial vehicles based on an improved genetic algorithm
Designing high-performance microstrip quad-band bandpass filters (for multi-service communication systems): a novel method based on artificial neural networks
A fault diagnosis method of Smart Grid based on rough sets combined with genetic algorithm and tabu search
Feature selection via a novel chaotic crow search algorithm
$$\beta$$ β -Hill climbing: an exploratory local search
A Comparison of Backpropagation and General Regression Neural Networks in Quantative Trace Metal Analysis using Anodic Stripping Voltammetry and Cybernetic Instrumentation
Exponential synchronization of bi-directional associative memory neural networks with delay on arbitrary time domains
Enhanced feature selection technique using slime mould algorithm: a case study on chemical data
Sound source localization for auditory perception of a humanoid robot using deep neural networks
Multitasking, an EEG experiment: comparative analysis of cognitive workload during demanding stimuli presentation
Enhanced pyramidal residual networks for single image super-resolution
On robustness of radial basis function network with input perturbation
Deep intelligent transportation system for travel time estimation on spatio-temporal data
Comparison of offline and real-time human activity recognition results using machine learning techniques
Global stability analysis of multitime-scale neural networks
Correction: Large language models for efficient topic modeling
Flow due to a convectively heated cylinder with nonlinear thermal radiation
Supply chain management model based on machine learning
Removal of hidden neurons in multilayer perceptrons by orthogonal projection and weight crosswise propagation
Difference kernel iterative method for linear and nonlinear partial differential equations
A systematic literature review on the application of artificial intelligence techniques for rock strength estimation
Adaptive graph learning and low-rank constraint for supervised spectral feature selection
A new measure of divergence with its application to multi-criteria decision making under fuzzy environment
An innovative quadratic interpolation salp swarm-based local escape operator for large-scale global optimization problems and feature selection
Quasi-synchronization of stochastic memristor-based neural networks with mixed delays and parameter mismatches
Traffic signal timing using two-dimensional correlation, neuro-fuzzy and queuing based neural networks
Stability analysis of stochastic reaction-diffusion delayed neural networks with Levy noise
Fractional-order self-tuned fuzzy PID controller for three-link robotic manipulator system
Aggregated decentralized down-sampling-based ResNet for smart healthcare systems
EAMultiRes-DSPP: an efficient attention-based multi-residual network with dilated spatial pyramid pooling for identifying plant disease
Decision-making in low-carbon supply chain networks considering demand uncertainty
Improving node embedding by a compact neighborhood representation
VNE strategy based on chaos hybrid flower pollination algorithm considering multi-criteria decision making
Correction to: Multivariate Gaussian and Student-t process regression for multi-output prediction
Electromagnetic magnetic compatibility optimization in mobile communication based on machine learning
Even faster retinal vessel segmentation via accelerated singular value decomposition
Security risk and response analysis of typical application architecture of information and communication blockchain
Learning knowledge graph embedding with a bi-directional relation encoding network and a convolutional autoencoder decoding network
Geometric Bonferroni means of interval-valued intuitionistic fuzzy numbers and their application to multiple attribute group decision making
PCDR-DFF: multi-modal 3D object detection based on point cloud diversity representation and dual feature fusion
Vectorization path planning for autonomous mobile agent in unknown environment
Semi-permutation-based genetic algorithm for order acceptance and scheduling in two-stage assembly problem
Robust stability of stochastic genetic regulatory networks with time-varying delays: a delay fractioning approach
A neural approach for estimation of per capita electricity consumption due to age and income
Reducing extrinsic hallucination in multimodal abstractive summaries with post-processing technique
Object classification on noise-reduced and augmented micro-doppler radar spectrograms
Global-local attention for emotion recognition
Development of novel methods to predict the strength properties of thermally treated sandstone using statistical and soft-computing approach
A novel neuroevolution model for emg-based hand gesture classification
A Novel Neural Network Technique for the Valuation of Residential Property
Research on diversity and accuracy of the recommendation system based on multi-objective optimization
Black hole algorithm with convolutional neural networks for the creation of brain-computer interface based in visual perception and visual imagery
Aggregating neighborhood information for negative sampling for knowledge graph embedding
Evaluation of adversarial attacks sensitivity of classifiers with occluded input data
A novel approach of data race detection based on CNN-BiLSTM hybrid neural network
Detection and classification of human respiration under building debris model using VHF/UHF waves
Crack identification in curvilinear beams by using ANN and ANFIS based on natural frequencies and frequency response functions
Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences
Fault detection and measurements correction for multiple sensors using a modified autoassociative neural network
Comparing the latent space of generative models
Enhancing of dataset using DeepDream, fuzzy color image enhancement and hypercolumn techniques to detection of the Alzheimer's disease stages by deep learning model
An efficient integrated simulation-Taguchi approach for sales rate evaluation of a petrol station
Gene encoder: a feature selection technique through unsupervised deep learning-based clustering for large gene expression data
Maximizing renewable energy integration with battery storage in distribution systems using a modified Bald Eagle Search Optimization Algorithm
Hierarchical fuzzy regression functions for mixed predictors and an application to real estate price prediction
An online incremental learning support vector machine for large-scale data
Privacy-preserving hierarchical federated learning with biosignals to detect drowsiness while driving
Nuclear reconstructive feature extraction
Cucumber diseases diagnosis based on multi-class SVM and electronic medical record
A study of the fixed points and spurious solutions of the deflation-based FastICA algorithm
Computational and artificial neural network study on ternary nanofluid flow with heat and mass transfer with magnetohydrodynamics and mass transpiration
Mifanet: multi-scale information fusion attention network for determining hatching eggs activity via detecting PPG signals
From swarm robotics to smart materials
Constrained self-organizing feature map to preserve feature extraction topology
Estimation of solar cell parameters through utilization of adaptive sine-cosine particle swarm optimization algorithm
Automated classification of Alzheimer's disease based on deep belief neural networks
Boosting arithmetic optimization algorithm by sine cosine algorithm and levy flight distribution for solving engineering optimization problems
A systematic review of low-rank and local low-rank matrix approximation in big data medical imaging
Improvement of process conditions in acrylic fiber dyeing using gray-based Taguchi-neural network approach
Comparison of neural network configurations in the long-range forecast of southwest monsoon rainfall over India
Soil volumetric water content prediction using unique hybrid deep learning algorithm
Using Neural Networks to Learn Hand-Eye Co-ordination
Machine learning and decision support system on credit scoring
Artificial neural network for steganography
Optimal position and rating of DG in distribution networks by ABC-CS from load flow solutions illustrated by fuzzy-PSO
VGGCOV19-NET: automatic detection of COVID-19 cases from X-ray images using modified VGG19 CNN architecture and YOLO algorithm
Deep learning with accelerated execution: toward a real-time video analysis system
A panorama of text summarization research: bibliometric trends and developments (2000-2024)
Chernobyl disaster optimizer (CDO): a novel meta-heuristic method for global optimization
A method of constructing a fine-grained sentiment lexicon for the humanities computing of classical chinese poetry
Plaintext restoration of light weight block ciphers using deep neural networks under the black box assumption
Convergence in Orlicz spaces by means of the multivariate max-product neural network operators of the Kantorovich type and applications
Brain tumor detection based on extreme learning
A novel clustering-based image segmentation via density peaks algorithm with mid-level feature
Hierarchical search strategy in particle filter framework to track infrared target
A coarse-to-fine small object detection framework based on a background complexity classification strategy
Interactive knowledge-enhanced attention network for answer selection
Finite-time and pinning synchronization of multi-weighted delayed coupled Cohen-Grossberg neural networks
Integrating adaptive neuro-fuzzy inference system and local binary pattern operator for robust retinal blood vessels segmentation
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays
Multispectral palmprint recognition using multiclass projection extreme learning machine and digital shearlet transform
Parameters estimation and synchronization of uncertain coupling recurrent dynamical neural networks with time-varying delays based on adaptive control
Multitask classification: assessing data complexity and determining correlations with classifier performance
Project-based learning model based on intelligent computing of the internet of things: characteristics, hidden worries, and beyond
AdversarialGait: direction invariant gait recognition with adversarial learning
MARIC: an efficient multi-agent real-time intention-based communication model for team cooperation
Recognition of abnormal human behavior in dual-channel convolutional 3D construction site based on deep learning
Optimal control for wastewater treatment process based on an adaptive multi-objective differential evolution algorithm
Synthetic training data for crack propagation measurement by neural networks
Data-driven multi-objective affective product design integrating three-dimensional form and color
Object detection in video sequences by a temporal modular self-adaptive SOM
A discrete collaborative swarm optimizer for resource scheduling problem in mobile cellular networks
Piezometric level prediction based on data mining techniques
Retraction Note: A new binary salp swarm algorithm: development and application for optimization tasks
An improved fire detection approach based on YOLO-v8 for smart cities
A new ASM framework for left ventricle segmentation exploring slice variability in cardiac MRI volumes
Network design for resilience in supply chains using novel crazy elitist TLBO
Predicting roadheader performance by using artificial neural network
Streamlining plant disease diagnosis with convolutional neural networks and edge devices
A RBF Neural Network-based Adaptive Control for SISO Linearisable Nonlinear Systems
Deep learning of system reliability under multi-factor influence based on space fault tree
Exploring differential evolution and particle swarm optimization to develop some symmetry-based automatic clustering techniques: application to gene clustering
A semi-structured information semantic annotation method for Web pages
Time series analysis in compressor-based machines: a survey
A multi-branch deep convolutional fusion architecture for 3D microwave inverse scattering: stored grain application
Recognition of motion patterns using accelerometers for ataxic gait assessment