Deep learning and vision transformers-based framework for breast cancer and subtype identification by Ishrat Jahan (5782163)

“…This study utilizes a deep learning framework for advanced, automatic breast cancer detection and subtype identification. …”

Hybrid deep learning based threat intelligence framework for Industrial IoT systems by Jahanzaib Malik (23718816)

“…The proposed approach was also compared against several contemporary deep learning-based architectures and existing benchmark algorithms. …”

Self-ChakmaNet: A deep learning framework for indigenous language learning using handwritten characters by Kanchon Kanti, Podder

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Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events by Ray, Arnob

“…This study develops an optimized ensemble deep learning framework wherein these two machine learning techniques are jointly used to achieve synergistic improvements in model accuracy, stability, scalability, and reproducibility, prompting a new wave of applications in the forecasting of dynamics. …”
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Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

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A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset by Mohammad Farhad Bulbul (18278689)

Development of a deep learning-based group contribution framework for targeted design of ionic liquids by Sadah Mohammed (18192859)

“…<p dir="ltr">In this article, we present a novel deep learning-based group contribution framework for the targeted design of ionic liquids (ILs). …”

Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework by Tayyabah Hasan (18427887)

“…Alternatively, quantum computing (QC) appears to be a prospect of more or less every typical computing problem. The framework is basically a merger of a deep learning (DL) agent deployed at the network edge with a quantum memory module (QMM). …”

Deep learning based multimodal urban air quality prediction and traffic analytics by Saad Hameed (6488738)

A temporal–spatial deep learning framework leveraging dynamic 3D attention maps for violence detection by Elizabeth B. Varghese (19198018)

“…<p dir="ltr">In intelligent systems for real-time security and safety monitoring, the proliferation of surveillance cameras has fueled a growing interest in using deep learning-based artificial intelligence (AI) models for violence detection. …”

Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid (21976373)

An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise by Shams Nafisa Ali (17949191)

“…The results presented in the paper indicate that our proposed architecture demonstrated a robust denoising performance on different datasets with diverse levels and characteristics of noise. The proposed deep learning-based PCG denoising approach is a pioneering study that can significantly improve the accuracy of computer-aided auscultation systems for detecting cardiac diseases in noisy, low-resource hospitals and underserved communities. …”

A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks by Sakib Mahmud (15302404)

Face Flow: Constrained Optical Flow Framework for Faces by Alkaddour, Muhannad

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W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting by Sasal, Lena

“…Deep learning utilizing transformers has recently achieved a lot of success in many vital areas such as natural language processing, computer vision, anomaly detection, and recommendation systems, among many others. …”
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Decoding silent speech: a machine learning perspective on data, methods, and frameworks by Adiba Tabassum Chowdhury (19444792)

“…We emphasize how deep learning (DL) and ML models have evolved to increase SSR resilience and accuracy. …”

Sentiment Analysis in Social Media: A Deep Learning Framework for Analyzing Public Sentiment toward Policies during Natural Disasters by FOOLAD, MOHAMED ABDULLA

“…This work used a deep learning model –LSTM model on the collected tweets to classify the emotions and reactions. …”
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Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network by Khadija Manzoor (22565369)

“…This study aims to develop a dual-stage deep learning framework for the segmentation and classification of skin lesions, addressing challenges such as imbalanced data, lesion variability, and low contrast.…”

Agree-to-Disagree (A2D): A Deep Learning-Based Framework for Authorship Discrimination Task in Corpus-Specificity Free Manner by Md. Tawkat Islam Khondaker (16870107)

“…In this work, we propose Agree-to-Disagree (A2D), a novel framework for the authorship discrimination task. It is a two-stage deep learning-based framework consisting of an `Agree' and a `Disagree' network. …”

Deep Learning for Arabic Error Detection and Correction by ALKHATIB, MANAR

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