All Stories

  1. Unsupervised intrusion detection system for in-vehicle communication networks
  2. Unsupervised generative learning-based decision-making system for COVID-19 detection
  3. Transformer based ensemble deep learning approach for remote sensing natural scene classification
  4. Deep fine-tuned efficientNetV2 ensemble deep learning approach for pediatric pneumonia detection using chest radiographs
  5. Deep transfer learning technique to detect white blood cell classification in regular clinical practice using histopathological images
  6. Navigating the Future of Secure and Efficient Intelligent Transportation Systems using AI and Blockchain
  7. Optimizing time prediction and error classification in early melanoma detection using a hybrid RCNN‐LSTM model
  8. DONAPP: A Centralized Platform for Bridging the Gap between Donors and Recipients
  9. E-voting system using cloud-based hybrid blockchain technology
  10. Empowering Crop Selection with Ensemble Learning and K-means Clustering: A Modern Agricultural Perspective
  11. Secure and resilient improved image steganography using hybrid fuzzy neural network with fuzzy logic
  12. A tweet sentiment classification approach using an ensemble classifier
  13. Medical Data Analysis Meets Artificial Intelligence (AI) and Internet of Medical Things (IoMT)
  14. Apple foliar leaf disease detection through improved capsule neural network architecture
  15. Hybrid cloud storage system with enhanced multilayer cryptosystem for secure deduplication in cloud
  16. Decision-making Support System for Predicting and Eliminating Malnutrition and Anemia
  17. A New Deep Learning Model based on Neuroimaging for Predicting Alzheimer's Disease
  18. Deep learning-based network intrusion detection in smart healthcare enterprise systems
  19. Intelligent leather defect classification using Fourier angular radial partitioning algorithm with ensemble classifier
  20. Electronic Health Record (EHR) System Development for Study on EHR Data-based Early Prediction of Diabetes Using Machine Learning Algorithms
  21. Audiovisual speech recognition based on a deep convolutional neural network
  22. Region Based Medical Image Encryption Using Advanced Zigzag Transform and 2D Logistic Sine Map (2DLSM)
  23. Bird species recognition using spiking neural network along with distance based fuzzy co-clustering
  24. Two-stage deep learning model for automate detection and classification of lung diseases
  25. Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures
  26. Analysis of Subfeature for Classification in Data Mining
  27. Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram
  28. Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images
  29. Peripheral Blood Smear Analysis Using Automated Computer-Aided Diagnosis System to Identify Acute Myeloid Leukemia
  30. Toward Data-Model-Agnostic Autonomous Machine-Generated Data Labeling and Annotation Platform: COVID-19 Autoannotation Use Case
  31. Deep learning-based approach for multi-stage diagnosis of Alzheimer’s disease
  32. Artificial intelligence enabled Luong Attention and Hosmer Lemeshow Regression Window‐based attack detection in 6G
  33. Intelligence Amplification-Based Smart Health Record Chain for Enterprise Management System
  34. A robust malware traffic classifier to combat security breaches in industry 4.0 applications
  35. Diagnosis system for cancer disease using a single setting approach
  36. Feature and Subfeature Selection for Classification Using Correlation Coefficient and Fuzzy Model
  37. Machine learning implementation to predict type-2 diabetes mellitus based on lifestyle behaviour pattern using HBA1C status
  38. Real time health care big data analytics model for improved QoS in cardiac disease prediction with IoT devices
  39. CE2RV: Commissioned energy‐efficient virtualization for large‐scale heterogeneous wireless sensor networks
  40. Visual Speech Recognition for Kannada Language Using VGG16 Convolutional Neural Network
  41. An Integrated Framework with Deep Learning for Segmentation and Classification of Cancer Disease
  42. An Efficient Framework to Detect Intracranial Hemorrhage Using Hybrid Deep Neural Networks
  43. A Non-Conventional Review on Multi-Modality-Based Medical Image Fusion
  44. Multi-Lexicon Classification and Valence-Based Sentiment Analysis as Features for Deep Neural Stock Price Prediction
  45. Feature Extraction Using a Residual Deep Convolutional Neural Network (ResNet-152) and Optimized Feature Dimension Reduction for MRI Brain Tumor Classification
  46. Survival study on deep learning techniques for IoT enabled smart healthcare system
  47. A multi-view feature fusion approach for effective malware classification using Deep Learning
  48. Efficient SCAN and Chaotic Map Encryption System for Securing E-Healthcare Images
  49. Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks
  50. A survey on Blockchain solutions in DDoS attacks mitigation: Techniques, open challenges and future directions
  51. Adversarial Defense: DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning
  52. Unsupervised Deep Learning Approach for In-Vehicle Intrusion Detection System
  53. Centralized CNN–GRU Model by Federated Learning for COVID-19 Prediction in India
  54. LPCOCN: A Layered Paddy Crop Optimization-Based Capsule Network Approach for Anomaly Detection at IoT Edge
  55. Fault tolerance aware workload resource management technique for real‐time workload in heterogeneous computing environment
  56. Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images
  57. Attention Cost-Sensitive Deep Learning-Based Approach for Skin Cancer Detection and Classification
  58. Noise Suppression and Edge Preservation for Low-Dose COVID-19 CT Images Using NLM and Method Noise Thresholding in Shearlet Domain
  59. Data mining in predicting liver patients using classification model
  60. Breast cancer image analysis using deep learning techniques – a survey
  61. Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures
  62. A Particle Swarm Optimization and Deep Learning Approach for Intrusion Detection System in Internet of Medical Things
  63. Predictive analytics of COVID-19 cases and tourist arrivals in ASEAN based on covid-19 cases
  64. Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system
  65. Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification
  66. A Review of Security Vulnerabilities in Industry 4.0 Application and the Possible Solutions Using Blockchain
  67. Blockchain-Based Cloud-Enabled Security Monitoring Using Internet of Things in Smart Agriculture
  68. Development of secrete images in image transferring system
  69. Correction to: Disease analysis using machine learning approaches in healthcare system
  70. CovMnet–Deep Learning Model for classifying Coronavirus (COVID-19)
  71. Disease analysis using machine learning approaches in healthcare system
  72. A Multi-View attention-based deep learning framework for malware detection in smart healthcare systems
  73. A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images
  74. Multi-objective optimization-based privacy in data mining
  75. K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data
  76. Influence of Spectral Bands on Satellite Image Classification using Vision Transformers
  77. Influence of Spectral Bands on Satellite Image Classification using Vision Transformers
  78. Odonata identification using Customized Convolutional Neural Networks
  79. Machine learning approach for anxiety and sleep disorders analysis during COVID-19 lockdown
  80. A two‐stage deep learning framework for image‐based android malware detection and variant classification
  81. Deep Learning based Cross Architecture Internet of Things malware Detection and Classification
  82. Neighborhood rough set‐based route selection for mobile ad hoc networks
  83. Hybrid optimization algorithm based feature selection for mammogram images and detecting the breast mass using multilayer perceptron classifier
  84. New Approach for Advanced Energy Efficiency in MANET (AEE-M) by Improving Optimized Link State Routing Protocol Version 2 (OLSRv2)
  85. A cost‐sensitive deep learning‐based meta‐classifier for pediatric pneumonia classification using chest X‐rays
  86. A dual‐band circular patch antenna using hexagon‐shaped slots
  87. Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN
  88. Improving routing disruption attack detection in MANETs using efficient trust establishment
  89. Healthcare Applications Using Blockchain Technology: Motivations and Challenges
  90. Attention-Based Multidimensional Deep Learning Approach for Cross-Architecture IoMT Malware Detection and Classification in Healthcare Cyber-Physical Systems
  91. A Comprehensive Review of Denial of Service Attacks in Blockchain Ecosystem and Open Challenges
  92. Classification of IHC Images of NATs with ResNet-FRP-LSTM for Predicting Survival Rates of Rectal Cancer Patients
  93. Attention deep learning‐based large‐scale learning classifier for Cassava leaf disease classification
  94. Tensor Decomposition of Largest Convolutional Eigenvalues Reveals Pathological Predictive Power of RhoB in Rectal Cancer Biopsy
  95. Deep Learning for Cyber Security Applications: A Comprehensive Survey
  96. Deep Learning for Cyber Security Applications: A Comprehensive Survey
  97. Stegomalware: A Systematic Survey of Malware Hiding and Detection in Images, Machine Learning Models and Research Challenges
  98. Stegomalware: A Systematic Survey of Malware Hiding and Detection in Images, Machine Learning Models and Research Challenges
  99. A deep learning approach for detecting the behavior of people having personality disorders towards Covid-19 from Twitter
  100. A deep learning approach for detecting the behavior of people having personality disorders towards Covid-19 from Twitter
  101. A hybrid optimization algorithm‐based feature selection for thyroid disease classifier with rough type‐2 fuzzy support vector machine
  102. Improved K-Means Based Q Learning Algorithm for Optimal Clustering and Node Balancing in WSN
  103. Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images
  104. A novel approach of localization with Single Mobile Anchor using Salp Swarm Algorithm in Wireless Sensor Networks
  105. REERS: Reliable and energy‐efficient route selection algorithm for heterogeneous Internet of things applications
  106. A Review on Android Malware: Attacks, Countermeasures and Challenges Ahead
  107. A Survey of Search Algorithms for Peer-to-Peer File Sharing Applications in Mobile Computing Infrastructure
  108. A Survey of Search Algorithms for Peer-to-Peer File Sharing Applications in Mobile Computing Infrastructure
  109. A study of the resource discovery approaches in Mobile Peer-to-Peer Networks
  110. A study of the resource discovery approaches in Mobile Peer-to-Peer Networks
  111. An intrusion detection system using optimized deep neural network architecture
  112. Detection of shilling attack in recommender system for YouTube video statistics using machine learning techniques
  113. Robust Malware Detection using Residual Attention Network
  114. Robust Malware Detection using Residual Attention Network
  115. Intrusion detection systems using classical machine learning techniques vs integrated unsupervised feature learning and deep neural network
  116. Network traffic anomaly detection using PCA and BiGAN
  117. An Embedded-Based Weighted Feature Selection Algorithm for Classifying Web Document
  118. A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities
  119. DCNN-IDS : Deep Convolutional Neural Network based Intrusion Detection System
  120. DCNN-IDS : Deep Convolutional Neural Network based Intrusion Detection System
  121. Towards Evaluating the Robustness of Deep Intrusion Detection Models in Adversarial Environment
  122. Towards Evaluating the Robustness of Deep Intrusion Detection Models in Adversarial Environment
  123. Amrita-CEN-Senti-DB:Twitter Dataset for Sentimental Analysis and Application of Classical Machine Learning and Deep Learning
  124. Amrita-CEN-Senti-DB:Twitter Dataset for Sentimental Analysis and Application of Classical Machine Learning and Deep Learning
  125. Deep convolutional neural network based image spam classification
  126. Deep convolutional neural network based image spam classification
  127. Malicious URL Detection using Deep Learning
  128. Malicious URL Detection using Deep Learning
  129. A Comprehensive Tutorial and Survey of Applications of Deep Learning for Cyber Security
  130. A Comprehensive Tutorial and Survey of Applications of Deep Learning for Cyber Security
  131. A Comparative Analysis of Deep Learning Approaches for Network Intrusion Detection Systems (N-IDSs)
  132. Deep Learning Approach for Intelligent Intrusion Detection System
  133. Robust Intelligent Malware Detection Using Deep Learning
  134. DeepMalNet: Evaluating shallow and deep networks for static PE malware detection
  135. Diabetes detection using deep learning algorithms
  136. Anomaly Detection in Phonocardiogram Employing Deep Learning
  137. S.P.O.O.F Net: Syntactic Patterns for identification of Ominous Online Factors
  138. Detecting Android malware using Long Short-term Memory (LSTM)
  139. Evaluating deep learning approaches to characterize and classify the DGAs at scale
  140. Evaluating deep learning approaches to characterize and classify malicious URL’s
  141. Detecting malicious domain names using deep learning approaches at scale
  142. Automated detection of cardiac arrhythmia using deep learning techniques
  143. Automated detection of diabetes using CNN and CNN-LSTM network and heart rate signals
  144. DeepAirNet: Applying Recurrent Networks for Air Quality Prediction
  145. Deep models for phonocardiography (PCG) classification
  146. Deep power: Deep learning architectures for power quality disturbances classification
  147. Real-Time Detection of Atrial Fibrillation from Short Time Single Lead ECG Traces Using Recurrent Neural Networks
  148. Deep encrypted text categorization
  149. Applying convolutional neural network for network intrusion detection
  150. Deep android malware detection and classification
  151. Long short-term memory based operation log anomaly detection
  152. Applying deep learning approaches for network traffic prediction
  153. Evaluating shallow and deep networks for secure shell (ssh)traffic analysis
  154. Stock price prediction using LSTM, RNN and CNN-sliding window model
  155. Evaluating effectiveness of shallow and deep networks to intrusion detection system
  156. Secure shell (ssh) traffic analysis with flow based features using shallow and deep networks
  157. Evaluating shallow and deep networks for ransomware detection and classification
  158. Single Sensor Techniques for Sleep Apnea Diagnosis Using Deep Learning
  159. Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS)
  160. Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning
  161. deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets
  162. Predicting the Sentimental Reviews in Tamil Movie using Machine Learning Algorithms
  163. AMRITA-CEN@SAIL2015: Sentiment Analysis in Indian Languages