A sustainable and efficient home health care network design model under uncertainty
IPDCN2: Improvised Patch-based Deep CNN for facial retouching detection
Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques
FinTech regulation: Evolutionary game model, numerical simulation, and recommendations
KGAN: Knowledge Grouping Aggregation Network for course recommendation in MOOCs
MapReduce accelerated attribute reduction based on neighborhood entropy with Apache Spark
Commentary generation for financial markets
A privacy-preserving blockchain-based tracing model for virus-infected people in cloud
Kernel robust singular value decomposition
Fault identification for photovoltaic systems using a multi-output deep learning approach
An investigation of the contextual distribution of false positives in a deep learning-based atrial fibrillation detection algorithm
A novel rough numbers based extended MACBETH method for the prioritization of the connected autonomous vehicles in real-time traffic management
CSRNet: Cascaded Selective Resolution Network for real-time semantic segmentation
A Hybrid Attention-Based Paralleled Deep Learning model for tool wear prediction
Temporal Density-aware Sequential Recommendation Networks with Contrastive Learning
Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions
Multimodal fusion methods with deep neural networks and meta-information for aggression detection in surveillance
Multi-step forecasting of multivariate time series using multi-attention collaborative network
Optimal decisions in a dual-channel competitive green supply chain management under promotional effort
Automatic segmentation of parallel drainage patterns supported by a graph convolution neural network
Vision-based interaction force estimation for robot grip motion without tactile/force sensor
Fake news detection on Pakistani news using machine learning and deep learning
A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks
Simultaneous label inference and discriminant projection estimation through adaptive self-taught graphs
Time series clustering based on complex network with synchronous matching states
A three-phase method for spherical fuzzy environment and application to community epidemic prevention management
Markov-based genetic algorithm with ϵ-greedy exploration for Indian classical music composition
A Trustworthiness-Aware Spatial Task Allocation using a Fuzzy-based Trust and Reputation System Approach
Cloud-based Cyber-Physical Logistics System with Nested MAX-MIN Ant Algorithm for E-commerce logistics
Static hand gesture recognition in sign language based on convolutional neural network with feature extraction method using ORB descriptor and Gabor filter
Directed Acyclic Graph networks to characterize phase space evolution with application to musical composition and industrial maintenance
Secure transmission of secret data using optimization based embedding techniques in Blockchain
Learning joint relationship attention network for image captioning
Restricted crossing U-turn traffic control by interval Type-2 fuzzy logic
Multi-time Scale Attention Network for WEEE reverse logistics return prediction
Dust InSMS: Intelligent soiling measurement system for dust detection on solar mirrors using computer vision methods
Cε-LDE: A lightweight variant of differential evolution algorithm with combined ε constrained method and Lévy flight for constrained optimization problems
GRASP/Δ: An efficient algorithm for the multi-objective portfolio optimization problem
CFMCRS: Calibration fuzzy- metaheuristic clustering routing scheme simultaneous in on-demand WRSNs for sustainable smart city
DP-RBAdaBound: A differentially private randomized block-coordinate adaptive gradient algorithm for training deep neural networks
Prediction of electron beam weld quality from weld bead surface using clustering and support vector regression
ATM cash demand forecasting in an Indian bank with chaos and hybrid deep learning networks
Detecting criticality in complex univariate time-series: A case study of the U.S. housing market crisis and other markets
DeepSumm: Exploiting topic models and sequence to sequence networks for extractive text summarization
Game effect sprite generation with minimal data via conditional GAN
A binary fuzzy goal programming model with fuzzy parameters to select the fruits and vegetables market hall location for Istanbul
Alzheimer’s disease classification based on graph kernel SVMs constructed with 3D texture features extracted from MR images
A sustainable supply chain for a wellness tourism center considering discount and quality of service
Text representation for direction prediction of share market
Prediction of post-translational modification cross-talk and mutation within proteins via imbalanced learning
A deep-learning wind speed interval forecasting architecture based on modified scaling approach with feature ranking and two-output gated recurrent unit
Cross-domain collaborative learning for single image deraining
Forecasting financial signal for automated trading: An interpretable approach
AMRank: An adversarial Markov ranking model combining short- and long-term returns
A recommendation system for effective learning strategies: An integrated approach using context-dependent DEA
Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets
High-capacity reversible data hiding in encrypted images based on pixel-value-ordering and histogram shifting
FC-Kmeans: Fixed-centered K-means algorithm
Analysis, prioritization and strategic planning of flood mitigation projects based on sustainability dimensions and a spatial/value AHP-GIS system
An integrated decision support framework using single-valued neutrosophic-MASWIP-COPRAS for sustainability assessment of bioenergy production technologies
Word embeddings for topic modeling: An application to the estimation of the economic policy uncertainty index
A graph-based method for interactive mapping revision in DL-Lite
Asynchronous federated learning system for human–robot touch interaction
An animal dynamic migration optimization method for directional association rule mining
Design and application of Nagar-Bardini structure-based interval type-2 fuzzy logic systems optimized with the combination of backpropagation algorithms and recursive least square algorithms
Local variational Probabilistic Minimax Active Learning
Online distributed evolutionary optimization of Time Division Multiple Access protocols
Zero-shot face recognition: Improving the discriminability of visual face features using a Semantic-Guided Attention Model
CSP-Ph-PS: Learning CSP-phase space and Poincare sections based on evolutionary algorithm for EEG signals recognition
Influence prediction model for marketing campaigns on e-commerce platforms
An air quality prediction model based on improved Vanilla LSTM with multichannel input and multiroute output
CowXNet: An automated cow estrus detection system
Genetic algorithm optimised Hadamard product method for inconsistency judgement matrix adjustment in AHP and automatic analysis system development
Direct relation detection for knowledge-based question answering
Impact of benign sample size on binary classification accuracy
Optimization of a non-instantaneous deteriorating inventory problem with time and price dependent demand over finite time horizon via hybrid DESGO algorithm
ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network
Multi-step ahead forecasting for electric power load using an ensemble model
A novel hybrid feature fusion model for detecting phishing scam on Ethereum using deep neural network
An improved imperialist competition algorithm with adaptive differential mutation assimilation strategy for function optimization
An attentive and adaptive 3D CNN for automatic pulmonary nodule detection in CT image
A novel multivariate grey model for forecasting periodic oscillation time series
Inter-subject cognitive workload estimation based on a cascade ensemble of multilayer autoencoders
A three-stage algorithm for coordinate controlling of multi-intersection signal
Solar photovoltaic Maximum Power Point Tracking controller optimization using Grey Wolf Optimizer: A performance comparison between bio-inspired and traditional algorithms
Blockchain-based mobile crowdsourcing model with task security and task assignment
Transfer learning for raw network traffic detection
Fast Genetic Algorithm for feature selection — A qualitative approximation approach
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
Multi-organ segmentation network for abdominal CT images based on spatial attention and deformable convolution
Data-driven robotic visual grasping detection for unknown objects: A problem-oriented review
Learning from biased crowdsourced labeling with deep clustering
Evolutionary constrained optimization with hybrid constraint-handling technique
An adaptive neighborhood-based speciation differential evolution for multimodal optimization
ExpFinder: A hybrid model for expert finding from text-based expertise data
ECFRNet: Effective corner feature representations network for image corner detection
Regret-based three-way decision making with possibility dominance and SPA theory in incomplete information system
Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision
Extracting Decision Model and Notation models from text using deep learning techniques
MDFN: Mask deep fusion network for visible and infrared image fusion without reference ground-truth
