Deep Learning for the Accurate Prediction of Triggered Drug Delivery حسب Husseini, Ghaleb

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

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Deep learning and vision transformers-based framework for breast cancer and subtype identification حسب 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 حسب Jahanzaib Malik (23718816)

"…To address this, the authors propose a hybrid threat intelligence framework that is not only highly scalable but also incorporates self-optimizing capabilities, enabling it to counteract a wide range of persistent cyber threats and attacks targeting IIoT systems. …"

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

"…The combined framework can generate the best out-of-sample performance than the individual deep learners and standard ensemble framework for both numerically simulated and real-world data sets. …"
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A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset حسب Mohammad Farhad Bulbul (18278689)

Development of a deep learning-based group contribution framework for targeted design of ionic liquids حسب 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). …"

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

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

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Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework حسب 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). …"

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

"…This paper proposes a novel temporal–spatial attention framework inspired by human visual perception, which dynamically focuses on multiple informative regions across space and time. …"

Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection حسب 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 حسب Shams Nafisa Ali (17949191)

"…We also used the inherently noisy portion of the PASCAL heart sound dataset for evaluation. The proposed framework showed effective suppression of background noises in both unseen real-world data and synthetically generated noisy heart sound recordings, improving the signal-to-noise ratio (SNR) level by 5.575 dB on an average using only 1.32 M parameters. …"

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

Arabic Sign Language Recognition: A Deep Learning Approach حسب ALMAHRI, HAMDA GHALIB AWADH ALI

"…We are able to leverage this framework to build a recognition system for Emirati Sign Language that recognizes the signs for the seven Emirates. …"
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Deep Learning Speech-Text Chatbot for High School Advising حسب Assayed, Suha Khalil

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

"…The primary aim of this study is to produce and present a robust, reliable, and accurate framework to measure and analyze public sentiments for decision-makers and policies legislators while managing and administrating the spread of a pandemic or a natural disaster in general. …"
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Agree-to-Disagree (A2D): A Deep Learning-Based Framework for Authorship Discrimination Task in Corpus-Specificity Free Manner حسب 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. …"

Transfer Learning and Sentiment Analysis of Lebanese Dialect Data using a Multilingual Deep Learning Approach حسب Chehade, Mira

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Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction حسب Syed Mohammad (21075689)

"…In summary, the current study provides a machine learning framework for computation cardiotoxicity assessment by analysis of the hERG blocker concentration cut-offs using different fingerprints at multiple thresholds.…"