yusuke1997/dblp-id-title huggingface dataset:
Genome-wide exploratory analysis for NARAC dataset with preparation for haplotype block partitioning through minor allele frequency quality control viewpoint
An efficient high-dimensional gene selection approach based on the Binary Horse Herd Optimization Algorithm for biologicaldata classification
Deep understanding of 3-D multimedia information retrieval on social media: implications and challenges
Classification of satellite images for ecology management using deep features obtained from convolutional neural network models
QuTiP-package applications to five-level atom with one mode
Fusion of optimized feature descriptors for medical image retrieval and classification
A coarse-grid incremental pressure projection method for accelerating low Reynolds number incompressible flow simulations
Enhanced plant identification and disease diagnosis through SqueezeNet and SVM for smart agriculture applications
The GRAM-KAN approach: dysarthria speech identification with easy call corpus
Enhanced image encryption using AES algorithm with CBC mode: a secure and efficient approach
A new technique for intent elicitation in Android applications
On the security of broadcast signcryption scheme with equality test in smart transportation system
Just: towards jute pest classification by combination of supervised learning and triplet loss aided contrastive learning
A new hybrid MobileNet-MLP model for secured data communication using signature verification and deep learning
A study of synergy between programming practices evolution and information disclosure-causing vulnerabilities
Isogeny-driven control for post-quantum cyber-physical systems
"Untrapped choice procedures" and their computational complexities
Content-based music recommender system based on music emotion using deep learning
Meta-heuristic bus transportation algorithm
SLCA-Cipher: secure and lightweight Cellular Automata cipher for resource-constrained devices
Advanced localization in wireless sensor networks with attention-guided deep unfolding
A comprehensive survey on trajectory-based location prediction
An efficient algorithm for the removal of motion artifacts in wearable ECG technology
A comprehensive survey on non-photorealistic rendering and benchmark developments for image abstraction and stylization
Android applications classification with deep neural networks
An intelligent framework for monitoring and irrigation prediction for precision agriculture
Avocado fruit disease detection and classification using modified SCA-PSO algorithm-based MobileNetV2 convolutional neural network
DeepMask: face mask detection using GAN algorithm
An intelligent natural language query processor for a relational database
Detection and classification of glioma, meningioma, pituitary tumor, and normal in brain magnetic resonance imaging using deep learning-based hybrid model
An effective approach for early liver disease prediction and sensitivity analysis
Intelligent smart agricultural production systems with energy efficient clustering-based optimized Siamese graph convolutional attention network
Pegasus-CNN/dailymail fine-tuning for domain-specific summarization: performance evaluation and hyperparameter optimization
A systematic image augmentation framework based on dataset limitations for small object detection
A parallel algorithm for generation of RNA secondary structures with length n and k base-pairs
A statistical designing approach to MATLAB based functions for the ECG signal preprocessing
A hybrid statistical and deep learning based technique for Persian part of speech tagging
Binary image steganography based on permutation
Artificial intelligence-powered environmental sound recognition with explainable AI techniques
A comprehensive examination of load balancing algorithms in cloud environments: a systematic literature review, comparative analysis, taxonomy, open challenges, and future trends
Heterogeneous transfer learning techniques for machine learning
CRESCENT+: a self-protecting framework for reliable composite web service delivery
A new model for retinal lesion detection of diabetic retinopathy using hierarchical self-organizing maps
Context-aware diagnosis of age-related macular degeneration (AMD) stages: a unified approach using self-supervised U-Net and graph neural networks on OCT imaging
GrpMean: predicting cardiovascular disease at an early stage
Performance analysis of elastic optical networks (EONs) switches under unicast traffic
Hybrid location-centric e-Commerce recommendation model using dynamic behavioral traits of customer
A Chic Giza reformed deep attention model (GizRAM) for opinion mining on Twitter with text and emojis
Plant nutritional deficiency detection: a survey of predictive analytics approaches
Vision transformer with feature calibration and selective cross-attention for brain tumor classification
Enhancing early Alzheimer's diagnosis through machine learning on multimodal neuroimaging and cognitive data
Reducing the time required by KASUMI to generate output by modifying the FL and FI functions
Parallel convolutional neural network and hybrid architectures for accented speech recognition in Malayalam
Real-time object detection using YOLO variants with nature-inspired algorithm
An improved Tasmanian Devil Optimization algorithm based EfficientNet in convolutional neural network for diabetic retinopathy classification
A multiple linear regression model approach for two-class fNIR data classification
A cascaded 3D-Unet with pre-activation residual SE attention for accurate brain tumor segmentation method in MRI imaging
Detecting forged management frames with spoofed addresses in IEEE 802.11 networks using received signal strength indicator
Exploring computationally efficient signcryption mechanisms for unmanned aerial vehicles (UAVs): a comparative review
Multi-label imbalanced text handling using ensemble methodology with application to biomedical data classification
An image distortion-based enhanced embedding scheme
Automatic edge app placement for personalized heart attack predictions
ADNet: deep learning based model for Alzheimer's disease classification
Predictive modeling of Y-balance scale scores using machine learning in sports science
Improved market prediction using meta-heuristic algorithms and time series model and testing market efficiency
CNN-WPT model for the efficient heartbeat classification
Ai-enabled multimodal analysis enhances detection of motor neuron disease pathways
A study on multi-agent reinforcement learning for autonomous distribution vehicles
Comparison of various data preprocessing software for untargeted urinary metabolomics using UHPLC-HRMS to diagnose cancer
A new procedure for optimization of hidden layer neurons during learning through gradient descent process of neural network and improvement of performance in the chaos forecasting
Transformation technique for derivation of similarity scores for signatures
Economic vulnerability and financial transitions post-divorce for Indian women: a machine learning analysis
CHC-VO enhanced PRANET for lung cancer detection using CT and histopathological images
Multi-level text document similarity estimation and its application for plagiarism detection
KartalOl: a new deep neural network framework based on transfer learning for iris segmentation and localization task - new dataset for iris segmentation
Efficient multimodal cancelable biometric system based on steganography and cryptography
Osteosarcoma cancer detection using ghost-faster RCNN model from histopathological images
Compressed domain secure, robust and high-capacity audio watermarking
Artificial immune system (AIS)-based location management scheme in mobile cellular networks
AI-driven fuzzy requirement engineering for cybersecurity: integrating linguistic decision models
Simulating Bluetooth virus propagation on the real map via infectious attenuation algorithm and discrete dynamical system
R 2 CS: a hybrid cryptosystem using RC-5 and RSA for secure transmission of satellite hyperspectral data
An optical vortex-based asymmetric cryptosystem using QZ modulation for the double image encryption in the gyrator transform
AI-driven biosensors for cardiac care: parametric-tuned modeling with extensive literature review
An information retrieval-based regression test selection technique
DevSched: an efficient bug-triaging model for allocating and balancing developer tasks
Motor imagery feature selection using modified whale optimization algorithm for brain-computer interface
Prediction of impacts and outbreak of COVID-19 on the society using distinct machine learning algorithms
NRSM: node redeployment shrewd mechanism for wireless sensor network
LTE-D2D for connected cars: a survey on radio resource management schemes
Enhanced ammonia contamination prediction in aquaculture ponds using stereoscopic scalable quantum convolutional networks with simplicial attention network
Minimum average case time complexity for sorting algorithms
Reinforced vision model using Q-learning GoogleNet with slime-whale optimization for diabetic retinopathy detection
Adaptive β-hill climbing enhanced metaheuristic approach for cancer identification from gene expression
Edge region segmenting scheme for underwater ecology object classification using lateral neural network
Improved colon cancer diagnosis with a dilated residual SqueezeNet architecture: a deep learning approach
Innovative fusion of VGG16, MobileNet, EfficientNet, AlexNet, and ResNet50 for MRI-based brain tumor identification
Gammatonegram representation for end-to-end dysarthric speech processing tasks: speech recognition, speaker identification, and intelligibility assessment
Enhanced trimodal emotion recognition using Steerable Graph Neural Network with Crayfish Optimization Algorithm
Investigating the capabilities of two-stage clustering algorithms in automatically discovering categories of questions using Bloom's taxonomy
Optimizing classifier performance using PCA-FLANN: a fast and reliable approach
A new trigonometric kernel function for support vector machine
Advancing Alzheimer's disease diagnosis: a hierarchical vision transformer classification framework with hybrid image processing and generative AI augmentation
Progressive reasoning: a cognitively inspired method for interesting pattern extraction in cognitive IoT
SiAD: a traffic generation-based anomaly detection protocol with state improvement for Internet of things using deep learning
IrisSeg-drunk: enhanced iris segmentation and classification of drunk individuals using Modified Circle Hough Transform
An application of Computational Intelligence in group formation for digital drama education
Optimized slimmable pruned graph neural network with billiards-inspired algorithm for cotton disease detection and crop health improvement
A comprehensive intuitionistic fuzzy cognitive map with multi-criteria decision-making system for post-COVID challenges
Predicting software vulnerability based on software metrics: a deep learning approach
A review of various semi-supervised learning models with a deep learning and memory approach
Sentence-based undersampling for named entity recognition using genetic algorithm
An embedding technique for smartcard-supported e-healthcare services
Gradient-enhanced focal-pooling vision transformer with adaptive tuning for robust and accurate vehicle detection in smart environments
Radicalized family of hyperbolic secant (RadSech) as an activation function
Comparison of feature selection methods in Kurdish text classification
Quantum-secure plaintext checkable signcryption
The intersection of artificial intelligence and human resources: transforming journey using natural language processing
Salp swarm algorithm using lens opposition-based learning and local search for constrained optimization problems
Entropy-based feature fusion via BlockNet for robust skin cancer classification
Social spider optimization with mutual information for high-accuracy cancer classification: a hybrid gene selection framework
Detecting and localizing multiple forgeries with TransGAN
Applications and limitations of large language models to integrate medical context: a comprehensive review
Publisher Correction: An improved Tasmanian Devil Optimization algorithm based EfficientNet in convolutional neural network for diabetic retinopathy classification
An empirically validated pedagogical framework to reduce cognitive load in online learning environments
Real-time torque and joint angle estimation using electromyography signals and an LSTM deep learning model on edge computing platform
A novel integration of simple framework for contrastive learning of visual representations and data-efficient image transformer for diabetic macular edema diagnosis
Blockchain-powered secure encryption for smart healthcare in industrial IoT with multi-aspect graph attention spherical convolutional neural network
Modeling and simulation of OBPN for forecasting of long-range monsoon AWR over a smaller homogeneous region through astrological parameters and its verification for 2019
New hybrid method for feature selection and classification using meta-heuristic algorithm in credit risk assessment
One-time password authentication based on QR code and hash chain
HyFPlantNet: hybrid feature-based plant disease classification network
Optimal inventory strategies having price-sensitive demand with log-gamma deterioration under complete backlogged shortages and learning effect
Two types of universal proof systems for all variants of many-valued logics and some properties of them
Protein sequence-based classification of Alzheimer's disease using deep learning and attention mechanism
Towards making computers conscious: trends and challenges
Masked face recognition with dual-stream LBP-CNN for human identity, age group, and gender classification
Computational intelligence for estimating software development effort: a systematic mapping study
A neuro fuzzy approach for the diagnosis of postpartum depression disorder
A multilevel image thresholding using the animal migration optimization algorithm
AI literacy: ai4Ev, a guide for adults non-technical learners
An image segmentation method based on improved Monarch Butterfly Optimization
Correction: Cost-benefit analysis of building information modeling implementation in construction projects: evidence from Iran
Advanced prediction and classification of pulmonary emphysema in COPD using deep graph convolutional neural network with improved weighted quantum ant bee optimization for CT-based diagnosis
Determination of methylene violet concentration using classification algorithms
Resilient cybersecurity: ensemble deep learning and reinforcement learning for Next-Gen IDS
Cost estimation model using enhance-based differential evolution algorithm
A post-quantum signature scheme from the secant variety of the Grassmannian
Credit card fraud detection using a Bayesian-optimized deep supervised autoencoder with blending ensemble learning
Robust motion prediction and recognition using GCN-I3D FusionNet model with optimized feature integration
Anomaly detection in group activities based on fuzzy lattices using Schrödinger equation
Textural and color descriptor fusion for efficient content-based image retrieval algorithm
Deep analysis of weighted features utilizing MFCC, MEL-spectrogram, and LPC within the framework of convolution neural network and bidirectional LSTM for automatic stuttering classification
Robust penta-modal biometric identification through deep learning and weighted score fusion
Artificial intelligence-based classification for waste management: a systematic review and future direction
OFDM waveform design for enhanced delay-Doppler target mapping
ANFIS controller design based on pigeon-inspired optimization to control an UAV trajectory tracking task
Voice feature-based diagnosis of Parkinson's disease using nature inspired squirrel search algorithm with ensemble learning classifiers
Intelligent multisensory data fusion and knowledge discovery in cognitive IoT
A solution: threat to privacy leakage in online social networks through semantic similarity attacks
A comprehensive study on energy-efficient-based routing protocols in the Internet of things Part I: definition and classification
Correction to: A new approach based on convolutional neural network and feature selection for recognizing vehicle types
An enhanced donkey and smuggler optimization algorithm for choosing the precise job applicant
Sustainable cloud computing: an enhanced energy-efficient VM consolidation approach using live migration
Data stream classification: a review
Knowledge discovery in multidimensional knowledge representation framework: An integrative approach for the visualization of text analytics results
A robust deep learning model for missing value imputation in big NCDC dataset
The impact of backbone selection in YOLOv8 models on brain tumor localization
A new approach based on convolutional neural network and feature selection for recognizing vehicle types
ECG signal analysis using CWT, spectrogram and autoregressive technique
Lightweight chaotic map-based pseudo-random bit generator design: enhancing performance for IoT systems
Automated deep feature fusion based approach for the classification of multiclass rice diseases
A parallel approach for high utility-based frequent pattern mining in a big data environment
Cost estimation of cellularly deployed IoT-enabled network for flood detection
Electrocardiogram image classification for six classes of heart diseases
Exploring the classification performance of different EEG bands for anesthesia monitoring
MK-SMOTE and M-SMOTE: enhanced techniques for handling class imbalance problem
SO-ITS: a secure offloading scheme for intelligent transportation systems in federated fog-cloud
Attention-guided deep learning for effective customer loyalty management and multi-criteria decision analysis
A comprehensive introspection on AI risks: taxonomy, challenges, and future directions
D-SVM over networked systems with non-ideal linking conditions
A review of multimodal depression detection methods using smartphone usage and audio-visual clues
Mentalix: stepping up mental health disorder detection using Gaussian CNN algorithm
Phoneme-based automatic speech recognition for real-time Arabic command drone control
Analysis and prediction of worldwide novel coronavirus (COVID-19) infections, using neural network-based techniques
GA-FDT: a genetically enhanced fuzzy decision tree for interpretable lung adenocarcinoma classification
QLGWYB: design of an efficient model for analyzing crowd behavior through Quad LSTM and Quad GRU fusion enhanced by Q-learning and YOLO
Machine vision and robotic arm coordination for automated medical object handling - a systematic literature review
Energy-aware multi-objective triple strategy-based zebra optimization algorithm for clustering and routing in wireless sensor network
Decomposition-based long short-term memory model for price forecasting of agricultural commodities
Locality Fisher discriminant analysis for conditional domain adaption
A novel algorithm for imputing the missing values in incomplete datasets
Age-based disease prediction and health monitoring: integrating explainable AI and deep learning techniques
Discriminative and domain invariant subspace alignment for visual tasks
An effective combined method for data aggregation in WSNs
Recent trends in computational intelligence for educational big data analysis
Frequent rule reduction for phishing URL classification using fuzzy deep neural network model
SADCCNet: self-attention-based dense cascaded capsule network for bone cancer detection using deep learning approach
Detecting and counting pistachios based on deep learning
Analysis of effective factors on gas leakage of polyethylene pipes for the intelligent forecasting of leakage degree
Correction to: Minimum average case time complexity for sorting algorithms
A polymorphic code generation engine with obfuscation techniques for protecting web bot attacks
Cutting-edge approaches in intrusion detection systems: a systematic review of deep learning, reinforcement learning, and ensemble techniques
Automatic identification and classification of power quality events using a hybrid intelligent approach
Labelled graph rules in P systems
Investigation of multiple hop cooperative communication system over time-selective Nakagami-m fading channel
Lung and colon cancer detection with convolutional neural networks and adaptive histogram equalization
Arrhythmia detection based on time-frequency features of heart rate variability and back-propagation neural network
Big Data and software engineering: prospects for mutual enrichment
A bibliometric survey on incremental clustering algorithm for electricity smart meter data analysis
Enhanced EEG decoding with weight freezing in parallel deep neuro-fuzzy networks (PDNFN) for multi-neurological disorder diagnosis
AI-powered detection and classification of harmful algal blooms (HABs) using a Volterra Convolutional Neural Network (VCNN) and advanced image processing techniques
Blockchain-based security management of IoT infrastructure with Ethereum transactions
Parametric active contour model-based tumor area segmentation from brain MRI images using minimum initial points
DeepIDX: sophisticated IDS model using the generative adversarial network (GAN) algorithm
Enhancing network security with memory-augmented visual attention networks and predator-prey optimization models
An evaluation of Reber stemmer with longest match stemmer technique in Kurdish Sorani text classification
CO 2 emission prediction from coal used in power plants: a machine learning-based approach
Series capacitor-compensated double-circuit transmission line directional relay system using a fuzzy expert system with a Haar wavelet
Detection of white fig ripeness stages using deep learning models
Improving the quality of underwater imaging using deep convolution neural networks
Prediction of Iranian EFL teachers' burnout level using machine learning algorithms and maslach burnout inventory
Detection of repetitive and irregular hypercall attacks from guest virtual machines to Xen hypervisor
Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction
Text mining: identification of similarity of text documents using hybrid similarity model
A hybrid metaheuristic-fuzzy logic-based framework for robust ADHD and multi-disease classification
Stacking machine learning model for price forecasting of ten popular cryptocurrencies using differential evolution algorithm
Resource allocation of 5G network by exploiting particle swarm optimization
Mango leaf disease recognition using neural network and support vector machine
Use of machine learning algorithms in the context of sugarcane in Brazil: a review
Hierarchical classification of fine-art paintings using deep neural networks
A new hybrid encryption in fog-cloud environment for secure medical data-sharing
The role of machine learning in transforming agricultural practices: insights into crop yield optimization and disease detection
Mitigating DDoS attacks in software-defined networks: a systematic literature review of machine learning and deep learning approaches
Detection of printed circuit board faults with FPGA-based real-time image processing
Distributed arithmetic computation-based 2D FIR Filter Bank with parallel processing and symmetry concepts
A genetic algorithm for selecting cooperative or direct communications between nodes in wireless sensor networks
Multidimensional analysis of particles
Reinforcing defect prediction: a reinforcement learning approach to mitigate class imbalance in software defect prediction
Gesture-based human-machine interfaces: a novel approach for robust hand and face tracking
Block-based copy-move image forgery detection using DCT
Feature selection and interpretation of employee attrition using mutual information and artificial neural networks
Intelligent fault diagnosis of bearings using multi-sensor spectrogram fusion and machine learning models
Evaluating machine learning and statistical learning techniques for cancer classification and diagnosis
From image classification to segmentation: a comprehensive empirical review
Brain tumor detection with mRMR-based multimodal fusion of deep learning from MR images using Grad-CAM