Java Projects For Final Year Student 2021-2022

Download Java Projects For Final Year Student 2021-2022

CLOUD COMPUTING
An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments
A Volunteer-Supported Fog Computing Environment for Delay-Sensitive IoT Applications
Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning
EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing
Resource Management and Pricing for Cloud Computing based Mobile Blockchain with Pooling
Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming
Robust Computation Offloading and Resource Scheduling in Cloudlet-Based Mobile Cloud Computing
Secure and Efficient Online Fingerprint Authentication Scheme Based on Cloud Computing
Performance Evaluation of Containerization in Edge-Cloud Computing Stacks for Industrial Applications: A Client Perspective
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services
Data Access Control in Cloud Computing: Flexible and Receiver Extendable
An Efficient and Secured Framework for Mobile Cloud Computing
A Double-Blind Anonymous Evaluation-Based Trust Model in Cloud Computing Environments
Distributed Multi-Cloud Multi-Access Edge Computing by Multi-Agent Reinforcement Learning
Network and Application-Aware Cloud Service Selection in Peer-Assisted Environments
Bidirectional and Malleable Proof-of-Ownership for Large File in Cloud Storage
Concurrent Healthcare Data Processing and Storage Framework Using Deep-Learning in Distributed Cloud Computing Environment
Toward Secure Data Computation and Outsource for Multi-User Cloud-Based IoT
A Privacy-Preserving and Untraceable Group Data Sharing Scheme in Cloud Computing
A Verifiable and Fair Attribute-based Proxy Re-encryption Scheme for Data Sharing in Clouds
A Load Balancing Algorithm for the Data Centres to Optimize Cloud Computing Applications
TEA-Cloud: A Formal Framework for Testing Cloud Computing Systems
Enhancing Security of Health Information Using Modular Encryption Standard in Mobile Cloud Computing
Verifiable Semantic-aware Ranked Keyword Search in Cloud-Assisted Edge Computing
A High-Efficient Joint ’Cloud-Edge’ Aware Strategy for Task Deployment and Load Balancing
Achieving Secure, Universal, and Fine-Grained Query Results Verification for Secure Search Scheme Over Encrypted Cloud Data
Scalable Fuzzy Keyword Ranked Search over Encrypted Data on Hybrid Clouds
High-performance Isolation Computing Technology for Smart IoT Healthcare in Cloud Environments
Provably Secure and Lightweight Identity-Based Authenticated Data Sharing Protocol for Cyber-Physical Cloud Environment
Searchable Public-Key Encryption with Cryptographic Reverse Firewalls for Cloud Storage
A Cloud-Assisted Reliable Trust Computing Scheme for Data Collection in Internet of Things
BC-Mobile Device Cloud: A Blockchain-Based Decentralized Truthful Framework for Mobile Device Cloud
A Fine-Grained and Lightweight Data Access Control Model for Mobile Cloud Computing
Privacy-Preserving Keyword Similarity Search over Encrypted Spatial Data in Cloud Computing
Privacy-Preserving Traceable Attribute-Based Keyword Search in Multi-Authority Medical Cloud
Efficient Analysis of Resource Availability for Cloud Computing Systems to Reduce SLA Violations
Privacy-Preserving Optimal Energy Management for Smart Grid with Cloud-Edge Computing
DATA MINING
Urban flow pattern mining based on multi-source heterogeneous data fusion and knowledge graph embedding
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data
The Mining of Urban Hotspots Based on Multi-source Location Data Fusion
An Intelligent Data Mining-Based Fault Detection and Classification Strategy for Microgrid
Computing Co-Location Patterns in Spatial Data with Extended Objects: A Scalable Buffer-Based Approach
On the Efficient Representation of Datasets as Graphs to Mine Maximal Frequent Itemsets
Rings for Privacy: An Architecture for Large Scale Privacy-Preserving Data Mining
Detection and Prediction of Diabetes Using Data Mining: A Comprehensive Review
Computing Co-Location Patterns in Spatial Data with Extended Objects: A Scalable Buffer-Based Approach
Feature-Free Explainable Data Mining in SAR Images Using Latent Dirichlet Allocation
Intelligent and adaptive web data extraction system using convolutional and long short-term memory deep learning networks
Comparative Assessment of Process Mining for Supporting IoT Predictive Security
SCPM-CR: A Novel Method for Spatial Co-location Pattern Mining with Coupling Relation Consideration
Intelligent Fraud Detection in Financial Statements using Machine Learning and Data Mining: A Systematic Literature Review
Mapping the Big Data Landscape: Technologies, Platforms and Paradigms for Real-Time Analytics of Data Streams
A Novel Coal–Rock Recognition Method for Coal Mining Working Face Based on Laser Point Cloud Data
TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Groups
Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions
AI
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19
ECHO: Efficient Zero-Control-Packet Broadcasting for Mobile Ad Hoc Networks
IoT-Enabled Social Relationships Meet Artificial Social Intelligence
Multi-Objective Hybrid Artificial Intelligence Approach for Fault Diagnosis of Aerospace Systems
VANET
Provable Secure Identity-based Anonymous and Privacy-Preserving Inter-vehicular Authentication Protocol for VANETs using PUF
Proven Secure Tree-based Authenticated Key Agreement for Securing VV and VI Communications in VANETs
Efficient Privacy-Preserving Authentication Scheme with Fine-grained Error Location for Cloud-based VANET
An RSU Deployment Strategy based on Traffic Demand in Vehicular Ad Hoc Networks (VANETs)
Modeling and Analysis of the Local Delay in an MEC-based VANET for a Suburban Area
A Low-Latency and Energy-Efficient Multimetric Routing Protocol based on Network Connectivity in VANET Communication
W-GeoR: Weighted Geographical Routing for VANET’s Health Monitoring Applications in Urban Traffic Networks
Privacy-Preserving Deep Learning Model for Decentralized VANETs Using Fully Homomorphic Encryption and Blockchain
Two-layer Distributed Content Caching for Infotainment Applications in VANETs
Load Balance Guaranteed Vehicle-to-Vehicle Computation Offloading for Min-Max Fairness in VANETs
DeepADV: A Deep Neural Network Framework for Anomaly Detection in VANETs
EPNS: Efficient Privacy Preserving Intelligent Traffic Navigation from Multiparty Delegated Computation in Cloud-Assisted VANETs
On the Security of a Lightweight Conditional Privacy-Preserving Authentication in VANETs
HDRS: A Hybrid Reputation System With Dynamic Update Interval for Detecting Malicious Vehicles in VANETs
Software-Defined Cooperative Data Sharing in Edge Computing Assisted 5G-VANET
CPPA-D: Efficient Conditional Privacy-Preserving Authentication Scheme With Double-Insurance in VANETs
ALMS: Asymmetric Lightweight Centralized Group Key Management Protocol for VANETs
A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET
Tracking Based Mix-Zone Location Privacy Evaluation in VANET
SEMA: Secure and Efficient Message Authentication Protocol for VANETs
Coordination Game Theory-Based Adaptive Topology Control for Hybrid VLC/RF VANET
Adaptive UAV-Assisted Geographic Routing With Q-Learning in VANET
An Anonymous Batch Authentication and Key Exchange Protocols for 6G Enabled VANETs
Connectivity Probability Analysis for VANET Freeway Traffic Using a Cell Transmission Model
A Privacy-Preservation Framework Based on Biometrics Blockchain (BBC) to Prevent Attacks in VANET
Secure and Lightweight Conditional Privacy-Preserving Authentication for Securing Traffic Emergency Messages in VANETs
A Novel Lightweight Authentication Protocol for Emergency Vehicle Avoidance in VANETs
Blockchain-Based Trust Management Model for Location Privacy Preserving in VANET
MANET
Delay-Constrained Topology-Transparent Distributed Scheduling for MANETs
A Hybrid Wormhole Attack Detection in Mobile Ad-Hoc Network (MANET)
Trust Aware Secure Energy Efficient Hybrid Protocol for MANET
PP Data Dissemination for Real-Time Streaming Using Load-Balanced Clustering Infrastructure in MANETs With Large-Scale Stable Hosts
An Active-Routing Authentication Scheme in MANET
Design of Novel Mobility and Obstacle-Aware Algorithm for Optimal MANET Routing
Prediction of Scenarios for Routing in MANETs Based on Expanding Ring Search and Random Early Detection Parameters Using Machine Learning Techniques
A Recurrent Reward Based Learning Technique for Secure Neighbor Selection in Mobile AD-HOC Networks
WIRELESS SENSOR NETWORK
CAERM: Coverage Aware Energy Replenishment Mechanism Using Mobile Charger in Wireless Sensor Networks
Interference Prediction in Wireless Networks: Stochastic Geometry Meets Recursive Filtering
DORA: A Destination-Oriented Routing Algorithm for Energy-Balanced Wireless Sensor Networks
A hybrid fault-tolerant routing based on Gaussian network for wireless sensor network
MCDP: Maximizing Cooperative Detection Probability for Barrier Coverage in Rechargeable Wireless Sensor Networks
CAERM: Coverage Aware Energy Replenishment Mechanism Using Mobile Charger in Wireless Sensor Networks
Broker-Based Nodes Recharging Scheme for Surveillance Wireless Rechargeable Sensor Networks
A Node Overhaul Scheme for Energy Efficient Clustering in Wireless Sensor Networks
DEKCS: A Dynamic Clustering Protocol to Prolong Underwater Sensor Networks
Reliable data storage in heterogeneous wireless sensor networks by jointly optimizing routing and storage node deployment
Energy-Efficient Node Deployment in Heterogeneous Two-Tier Wireless Sensor Networks With Limited Communication Range
Joint Data Collection and Fusion Using Mobile Sink in Heterogeneous Wireless Sensor Networks
Improved Deep Convolutional Neural Network based Malicious Node Detection and Energy-Efficient Data Transmission in Wireless Sensor Networks
Anchor Nodes Assisted Cluster-Based Routing Protocol for Reliable Data Transfer in Underwater Wireless Sensor Networks
Energy-Efficient Cooperative Caching for Information-Centric Wireless Sensor Networking
Value of Information Based Sensor Ranking for Efficient Sensor Service Allocation in Service Oriented Wireless Sensor Network
Intelligent Anti-Jamming Communication for Wireless Sensor Networks: A Multi-Agent Reinforcement Learning Approach
Lightweight Fault Detection Strategy for Wireless Sensor Networks Based on Trend Correlation
An Unequally Clustered Multi-hop Routing Protocol Based on Fuzzy Logic for Wireless Sensor Networks
QoS-Aware Energy Management and Node Scheduling Schemes for Sensor Network-Based Surveillance Applications
Robust Decentralized and Distributed Estimation of a Correlated Parameter Vector in MIMO-OFDM Wireless Sensor Networks
Energy-Efficient Cluster-Based Wireless Sensor Networks Using Adaptive Modulation: Performance Analysis
A Robust Tracking Algorithm Based on Modified Generalized Probability Data As-sociation for Wireless Sensor Network
Multi-dimensional Privacy-Preserving Average Consensus in Wireless Sensor Networks
IMAGE CLASSIFICATION
Object-Scale Adaptive Convolutional Neural Networks for High-Spatial Resolution Remote Sensing Image Classification
Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images
Multiscale CNN With Autoencoder Regularization Joint Contextual Attention Network for SAR Image Classification
Study of texture segmentation and classification for grading small hepatocellular carcinoma based on CT images
A Hybrid Network With Structural Constraints for SAR Image Scene Classification
Combining Multiple Classifiers for Domain Adaptation of Remote Sensing Image Classification
COVID-9-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-9 From Biomedical Literature
Classification of Remotely Sensed Images Using an Ensemble of Improved Convolutional Network
Effects of Lossy Compression on Remote Sensing Image Classification Based on Convolutional Sparse Coding
An Efficient Classification of MRI Brain Images
Advanced Meta-Heuristics, Convolutional Neural Networks, and Feature Selectors for Efficient COVID-9 X-Ray Chest Image Classification
Tropical Cyclone Intensity Classification and Estimation Using Infrared Satellite Images With Deep Learning
Classification of Large-Scale High-Resolution SAR Images With Deep Transfer Learning
IMAGE SEGMENTATION
SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
Robust segmentation method for noisy images based on an unsupervised denosing filter
Pseudo CT Image Synthesis and Bone Segmentation From MR Images Using Adversarial Networks With Residual Blocks for MR-Based Attenuation Correction of Brain PET Data
MI-UNet: Multi-Inputs UNet Incorporating Brain Parcellation for Stroke Lesion Segmentation From T-Weighted Magnetic Resonance Images
Study of texture segmentation and classification for grading small hepatocellular carcinoma based on CT images
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19
SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation
Coarse-to-Fine Lung Nodule Segmentation in CT Images With Image Enhancement and Dual-Branch Network
Ship Target Imaging in Airborne SAR System Based on Automatic Image Segmentation and ISAR Technique
Image Segmentation and Region Classification in Automotive High-Resolution Radar Imagery
Object-Scale Adaptive Convolutional Neural Networks for High-Spatial Resolution Remote Sensing Image Classification
Intensity Augmentation to Improve Generalizability of Breast Segmentation Across Different MRI Scan Protocols
PWD-DNet: A Deep Learning-Based Fully-Automated Segmentation of Multiple Structures on Temporal Bone CT Scans
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations
Multimodal Magnetic Resonance Image Brain Tumor Segmentation Based on ACU-Net Network
Lightweight Attention Convolutional Neural Network for Retinal Vessel Image Segmentation
CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images
Kidney Segmentation in -D Ultrasound Images Using a Fast Phase-Based Approach
HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation
A Local Region-Based Level Set Method With Markov Random Field for Side-Scan Sonar Image Multi-Level Segmentation
A Novel Negative-Transfer-Resistant Fuzzy Clustering Model With a Shared Cross-Domain Transfer Latent Space and its Application to Brain CT Image Segmentation
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation
JCS: An Explainable COVID-9 Diagnosis System by Joint Classification and Segmentation
Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-9 Chest CT Images
Hair Segmentation and Removal in Dermoscopic Images Using Deep Learning
Training on Polar Image Transformations Improves Biomedical Image Segmentation
Parallel Deep Learning Algorithms With Hybrid Attention Mechanism for Image Segmentation of Lung Tumors
Anatomically Constrained Deep Learning for Automating Dental CBCT Segmentation and Lesion Detection
APRNet: A D Anisotropic Pyramidal Reversible Network with Multi-modal Cross-Dimension Attention for Brain Tissue Segmentation in MR Images
An Ensemble of U-Net Models for Kidney Tumor Segmentation with CT images
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-9 From Biomedical Literature
IMAGE ENHANCEMENT
Joint Luminance and Chrominance Learning for Underwater Image Enhancement
Two-Branch Deep Neural Network for Underwater Image Enhancement in HSV Color Space
TEBCF: Real-World Underwater Image Texture Enhancement Model Based on Blurriness and Color Fusion
Contrast Enhancement of Multiple Tissues in MR Brain Images With Reversibility
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning
Coarse-to-Fine Lung Nodule Segmentation in CT Images With Image Enhancement and Dual-Branch Network
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations
Comprehensive Underwater Object Tracking Benchmark Dataset and Underwater Image Enhancement With GAN
IMAGE RECOSGNITION
CapsField: Light Field-Based Face and Expression Recognition in the Wild Using Capsule Routing
A Deformation Robust ISAR Image Satellite Target Recognition Method Based on PT-CCNN
A CNN-Based Hybrid Ring Artifact Reduction Algorithm for CT Images
Application of Locally Invariant Robust PCA for Underwater Image Recognition
Facial Expression Recognition Using Local Gravitational Force Descriptor-Based Deep Convolution Neural Networks
Graph-Embedded Convolutional Neural Network for Image-based EEG Emotion Recognition
A Single Neural Network for Mixed Style License Plate Detection and Recognition
Dual-Features Student-t Distribution Mixture Model Based Remote Sensing Image Registration
SCEP—A New Image Dimensional Emotion Recognition Model Based on Spatial and Channel-Wise Attention Mechanisms
Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach
Learning Complete and Discriminative Direction Pattern for Robust Palmprint Recognition
Periocular-Assisted Multi-Feature Collaboration for Dynamic Iris Recognition
Biometric Recognition of Infants using Fingerprint, Iris, and Ear Biometrics
SqueezeNet and Fusion Network-Based Accurate Fast Fully Convolutional Network for Hand Detection and Gesture Recognition
FA-GAN: Face Augmentation GAN for Deformation-Invariant Face Recognition
Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution
Convolutional Sparse Support Estimator-Based COVID-9 Recognition From X-Ray Images
A High-Quality Multicategory SAR Images Generation Method With Multiconstraint GAN for ATR
Adversarial Examples for CNN-Based SAR Image Classification: An Experience Study
Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images
Extreme Downsampling and Joint Feature for Coding-Based Palmprint Recognition
Identity-aware Facial Expression Recognition via Deep Metric Learning based on Synthesized Images
Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery
Robust Imaging-Free Object Recognition Through Anderson Localizing Optical Fiber
Brain Extraction from Brain MRI Images Based on Wasserstein GAN and O-Net

Java Projects For Final Year Student 2021-2022

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