Intelligent Fusion of Deep Features for Improved Waste Classification حسب Kashif Ahmad (12592762)

"…To achieve reliable waste classification capability, we propose a novel approach, that we name double fusion, which optimally combines multiple deep learning models using feature and score-level fusion methods. …"

Markisa/Passion Fruit Image Classification Based Improved Deep Learning Approach Using Transfer Learning حسب Abdo, Ahmed

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A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance حسب Krishnamoorthy Natarajan (22047464)

Supervised term-category feature weighting for improved text classification حسب Attieh, Joseph

"…Experimental results on five benchmark datasets show that our lean approaches mostly improve text classification accuracy while requiring significantly less computation time compared with their deep model alternatives.…"
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Low-Light Image Enhancement for Object Classification using Deep Learning حسب Al Sobbahi, Rayan

"…When embedded with a classification model, our solution achieves an average of 5.5% improvement in classification accuracy, compared with the traditional pipeline of separate enhancement followed by classification. …"
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Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning حسب Abdus Salam (1918387)

"…<h3 dir="ltr">Objective</h3><p dir="ltr">To develop and evaluate a deep learning framework for automatic kidney and fluid segmentation in renal ultrasound images, aiming to enhance diagnostic accuracy and reduce variability in hydronephrosis assessment. …"

Secure and Robust Deep Learning Using Homomorphic Encryption and Adversarial Approach for Image Classification حسب Abbass, Ali

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An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge حسب Zaulkernan, Imran

"…This paper proposes an IoT architecture that uses deep learning on edge devices to convey animal classification results to a mobile app using the LoRaWAN low-power, wide-area network. …"
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A systematic review of text classification research based on deep learning models in Arabic language حسب Wahdan, Ahlam

"…The evaluation criteria used in the algorithms of different neural network types and how they play a large role in the highly accurate classification of Arabic texts are discussed. Our results provide some findings regarding how deep learning models can be used to improve text classification research in Arabic language.…"
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Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

"…Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …"
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Comparative Study on Arabic Text Classification: Challenges and Opportunities حسب Abualigah, Laith

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Multi-Label Image Classification by Feature Attention Network حسب Zheng Yan (194231)

Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model حسب Al Adab, Maryam

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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images حسب Sajun, Ali Reza

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DCT-Based Channel Attention for Multivariate Time Series Classification حسب Amine Haboub (22392097)

The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer حسب Saidul, Kabir

"…The random forest classifier achieved an accuracy of 88% on four score classification (0, 1+, 2 + and 3 + ) and 96% on three score classification (0/1+, 2 + and 3 + ). …"
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On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network حسب Nasru Minallah (9427338)

"…<p>This research work aims to develop a deep learning-based crop classification framework for remotely sensed time series data. …"

Advancing paleontology: a survey on deep learning methodologies in fossil image analysis حسب Mohammed Yaqoob (344668)

"…Recent advances in deep learning offer the potential to automate fossil image analysis, improving throughput and limiting operator bias. …"

Comparing deep learning models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical evaluation, and challenges حسب Al Sobbahi, Rayan

"…Recently, a remarkable progress has been made in utilizing deep learning (DL) approaches for LLI enhancement. …"
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EOG-Based Reading Detection in the Wild Using Spectrograms and Nested Classification Approach حسب Sriman Bidhan Baray (15302398)

"…We propose a pipeline combining the statistical features with deep learning features from pre-trained ImageNet models. …"