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View article: Cross-Domain Recommendation Framework for Enhanced Personalization through Contrastive Learning
Cross-Domain Recommendation Framework for Enhanced Personalization through Contrastive Learning Open
To tackle the persistent data sparsity issue in recommendation systems (RSs), cross-domain recommendation has emerged as an effective solution by leveraging data from richer domains to enhance performance in sparser ones. Our proposed fram…
View article: Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems
Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems Open
Federated Learning (FL) has emerged as a transformative paradigm for distributed machine learning while preserving data privacy. However, existing approaches predominantly focus on model heterogeneity and aggregation techniques, largely ov…
View article: Contrastive Learning based CrossDomain Recommendation via User Convergence
Contrastive Learning based CrossDomain Recommendation via User Convergence Open
Cold-start users have always been a challenging task to deal with in the paradigm of recommender systems. Providentially, the presence of these cold-start users in multiple domains has addressed the problem of their sparse presence in the …
View article: Federated Learning with Explainable AI for Malicious Traffic Detection in IoT Networks
Federated Learning with Explainable AI for Malicious Traffic Detection in IoT Networks Open
The rapid proliferation of Internet of Things (IoT) devices has intensified the need for scalable, privacy-preserving, and interpretable intrusion detection systems (IDS). In this work, we propose a novel framework that combines Federated …
View article: RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media
RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media Open
The earliest detection of rumors across social media is the need to the hour in present global village. User’s are seamlessly connected in an unstructured network leading to rapid flow of information. User’s on the social media with malign…
View article: Efficient Text Style Transfer Through Robust Masked Language Model and Iterative Inference
Efficient Text Style Transfer Through Robust Masked Language Model and Iterative Inference Open
Emergence of Large Language Models (LLMs) have prompted researchers to exploit the abilities of such models for text style transfer (TST). However, these models are prone to hallucinations and suffer from problems of manually crafting prom…
View article: Dual Modality Reverse Reranking (DM-RR) Based Image Retrieval Framework
Dual Modality Reverse Reranking (DM-RR) Based Image Retrieval Framework Open
Retrieval of a product with desired modifications from a vast inventory of online industrial platforms is frequently encountered in our daily life. This study presents a specialized framework to retrieve user's queried product with its des…
View article: Low Resource Summarization using Pre-trained Language Models
Low Resource Summarization using Pre-trained Language Models Open
With the advent of Deep Learning based Artificial Neural Networks models, Natural Language Processing (NLP) has witnessed significant improvements in textual data processing in terms of its efficiency and accuracy. However, the research is…
View article: Detection and Classification of Temporal Changes for Citrus Canker Growth Rate Using Deep Learning
Detection and Classification of Temporal Changes for Citrus Canker Growth Rate Using Deep Learning Open
Citrus canker is among the major plant diseases caused by Xanthomonas citri which affects the quality and quantity of citrus fruit. This results in the reduction of citrus production which causes a huge financial loss and livelihood of the…
View article: CrossDomain Recommendation Based on MetaData Using Graph Convolution Networks
CrossDomain Recommendation Based on MetaData Using Graph Convolution Networks Open
Recent advancements in the domain of recommender systems have stemmed from the inspiration of representing the user-item interaction into graphs. These heterogeneous graphs comprehensively capture the non-linear relationships between users…
View article: A novel hybrid CNN-LSTM approach for assessing StackOverflow post quality
A novel hybrid CNN-LSTM approach for assessing StackOverflow post quality Open
Maintaining the content quality on social media Q&A platforms is pivotal for user attraction and retention. Automating post quality assessment offers benefits such as reduced moderator workload, amplified community impact, enhanced expert …
View article: Deep-View Linguistic and Inductive Learning (Dvlil) Based Framework for Image Retrieval
Deep-View Linguistic and Inductive Learning (Dvlil) Based Framework for Image Retrieval Open
View article: Pharmacovigilance with Transformers: A Framework to Detect Adverse Drug Reactions Using BERT Fine-Tuned with FARM
Pharmacovigilance with Transformers: A Framework to Detect Adverse Drug Reactions Using BERT Fine-Tuned with FARM Open
Adverse drug reactions (ADRs) are the undesirable effects associated with the use of a drug due to some pharmacological action of the drug. During the last few years, social media has become a popular platform where people discuss their he…
View article: Enhanced Metamorphic Techniques-A Case Study Against Havex Malware
Enhanced Metamorphic Techniques-A Case Study Against Havex Malware Open
Most of the commercial antiviruses are signature based, that is, they use existing database signature to detect the malware. Malware authors use code obfuscation techniques in their variety of malware with the aim of bypassing detection by…
View article: Automated acute lymphoblastic leukaemia detection system using microscopic images
Automated acute lymphoblastic leukaemia detection system using microscopic images Open
An automatic and novel approach for acute lymphoblastic leukaemia classification is proposed. The proposed scheme is based on pre‐processing and segmentation of white blood cell nuclei using expectation maximisation algorithm, feature extr…
View article: CATSWoTS: Context Aware Trustworthy Social Web of Things System
CATSWoTS: Context Aware Trustworthy Social Web of Things System Open
The inevitable revolution of the Internet of Things (IoT) and its benefits can be witnessed everywhere. Two major issues related to IoT are the interoperability and the identification of trustworthy things. The proposed Context-Aware Trust…
View article: ComTech 2019 Organization Committee
ComTech 2019 Organization Committee Open
View article: Overlapping White Blood Cells Detection Based on Watershed Transform and Circle Fitting
Overlapping White Blood Cells Detection Based on Watershed Transform and Circle Fitting Open
White blood cell (WBC) count and segmentation is considered to be important step to diagnose diseases like leukemia, malaria etc. Automatic analysis of blood smear images will help hematologists to detect WBCs efficiently and effectively a…
View article: An Efficient Eulerian Video Magnification Technique for Micro-biology Applications
An Efficient Eulerian Video Magnification Technique for Micro-biology Applications Open
The micro-biology videos often contain motions of particles which are not visible to naked eye. Therefore an efficient motion magnification technique is required to magnify these motions. A time efficient eulerian video magnification techn…