Computer Science & Engineering
Recent Submissions
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Cooperative offloading multi-access edge computing (COMEC) for cell-edge users in heterogeneous dense networks
( Elsevier , 2025 , Article)Multi-access edge computing (MEC) addresses the rising computational demands of advanced applications by bringing processing closer to users. Yet, cell-edge users often face high latency and low throughput—challenges that ... -
Transformers in speech processing: Overcoming challenges and paving the future
( Elsevier , 2025 , Article)The remarkable success of transformers in the field of natural language processing has sparked interest in their potential for mod- elling long-range dependencies within speech sequences. Transformers have gained prominence ... -
TEMSET-24K: Densely Annotated Dataset for Indexing Multipart Endoscopic Videos using Surgical Timeline Segmentation
( Springer Nature , 2025 , Article)Indexing endoscopic surgical videos is vital in surgical data science, forming the basis for systematic retrospective analysis and clinical performance evaluation. Despite its significance, current video analytics rely on ... -
Cancer Classification in Breast Imaging via Enhanced CNN Deep Learning Architecture
( Springer Science and Business Media Deutschland GmbH , 2025 , Conference)A major factor in determining the future probability of breast cancer is the early and precise identification of breast abnormalities, which includes differentiating between malignancy, normal tissues, and suspected cancer. ... -
Prompt Strategies for Sarcastic Meme Detection: A Comparative Analysis
( Springer Science and Business Media Deutschland GmbH , 2025 , Conference)Memes, often characterized by subtle humour and irony, have become a prominent digital communication medium. Detecting sarcasm in memes presents a significant challenge due to its context-dependent nature, negatively ... -
Adaptive DRL Specular Reflection Removal for Enhanced Polyps Detection
( Springer Science and Business Media Deutschland GmbH , 2025 , Conference)Artificial intelligence (AI) applications in colonoscopy have shown promise in terms of improving disease detection and classification, such as polyp detection. However, specular reflections from the camera flash might ... -
Automated Breast Cancer Detection: A Review
( Springer Science and Business Media Deutschland GmbH , 2025 , Conference)Over the past decade, medical imaging research has grown significantly in image processing and computer vision, particularly in detecting, classifying, and segmenting breast cancer. Advancements in pattern recognition and ... -
Integrating binary classification and clustering for multi-class dysarthria severity level classification: a two-stage approach
( Springer , 2025 , Article)Dysarthria, a motor speech disorder, poses challenges in accurate severity assessment. Recent research has excelled in classifying dysarthria based on severity levels, primarily utilizing annotated datasets and achieving ... -
Enhancing Scalability and Network Efficiency in IOTA Tangle Networks: A POMDP-Based Tip Selection Algorithm
( Multidisciplinary Digital Publishing Institute (MDPI) , 2025 , Article)The fairness problem in the IOTA (Internet of Things Application) Tangle network has significant implications for transaction efficiency, scalability, and security, particularly concerning orphan transactions and lazy tips. ... -
Breast cancer detection based on histological images using fusion of diffusion model outputs
( Nature Research , 2025 , Article)The precise detection of breast cancer in histopathological images remains a critical challenge in computational pathology, where accurate tissue segmentation significantly enhances diagnostic accuracy. This study introduces ... -
PDC-ViT: source camera identification using pixel difference convolution and vision transformer
( Springer Science and Business Media Deutschland GmbH , 2025 , Article)Source camera identification has emerged as a vital solution to unlock incidents involving critical cases like terrorism, violence, and other criminal activities. The ability to trace the origin of an image/video can aid ... -
Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation
( Springer , 2025 , Article)The ability to predict breast cancer metastases is essential for making effective clinical decisions and managing patients. Traditional models predominantly rely on structured clinical data, which often lacks essential ... -
Context-Aware Offensive Meme Detection: A Multi-Modal Zero-Shot Approach with Caption-Enhanced Classification
( IEEE , 2024 , Conference)Detecting offensive content in memes is a pressing issue, particularly as harmful and toxic materials proliferate on social media platforms. Conventional approaches to offensive meme detection typically focus on analyzing ... -
Enhancing Efficiency in the IOTA Tangle: A POMDP-Based Tip Selection Approach
( IEEE , 2024 , Conference)The IOTA Tangle represents a promising alternative to blockchain technology, particularly for the Internet of Things (IoT) environment. However, ensuring efficiency and fairness in transaction processing remains a significant ... -
Histopathology in focus: a review on explainable multi-modal approaches for breast cancer diagnosis
( Frontiers Media SA , 2024 , Article Review)Precision and timeliness in breast cancer detection are paramount for improving patient outcomes. Traditional diagnostic methods have predominantly relied on unimodal approaches, but recent advancements in medical data ... -
Breast Cancer Detection Based on Histopathological Images Using Vision Transformers
( IEEE , 2024 , Conference)Breast cancer is a prevalent and potentially fatal malignancy in women, requiring continual improvements in diagnostic techniques. In order to help medical personnel accurately detect dangerous tumors, automated medical ... -
Classification of Animal Species Using a Deep Neural Network-Based Feature Extraction Method
( IEEE , 2024 , Conference)This study presents an innovative approach to animal classification and recognition utilizing machine learning and deep learning methodologies. Leveraging advanced algorithms, the proposed system achieves remarkable accuracy ... -
Optimizing Deep Ensemble Learning for Accurate Melanoma Skin Cancer Classification: Design and Analysis
( IEEE , 2024 , Conference)This study evaluates the performance of state-of-The-Art convolutional neural networks (CNNs) for melanoma skin cancer classification, highlighting the selection and optimization of models for ensemble learning. Wide-ResNet101-2 ... -
A Robust Ensemble Model for Plant Disease Detection Using Deep Learning Architectures
( Multidisciplinary Digital Publishing Institute (MDPI) , 2025 , Article)This study explores advanced methods for plant disease classification by integrating pre-trained deep learning models and leveraging ensemble learning. After a comprehensive review of deep learning methods in this area, ... -
Optimizing High-Altitude UAV Object Detection with Deep Learning
( IEEE , 2024 , Conference)The impressive advancements in computer vision have endowed unmanned aerial vehicles (UAVs) with intelligence, enabling them to undertake diverse tasks such as object detection, tracking, and counting. Nevertheless, ...
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