Robust human face detection in complex color images by Naseem, I.

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A Lower Complexity Deep Learning Method for Drones Detection by Mohamad Kassab

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Content-Symmetrical Multidimensional Transpose of Image Sequences for the High Efficiency Video Coding (HEVC) All-Intra Configuration by Shanableh, Tamer

“…This noticeably reduces the complexity of the encoding process of the first pass and gives an indication as to whether or not the proposed solution is suitable for the video sequence at hand. …”
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Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? by Ahmed Soliman (4591621)

“…These findings suggest that proposed complex architectures may be task-specific and simpler models with appropriate pre-/post-processing pipeline can be equally or more effective in generalization across different tasks in medical image segmentation.…”

Assessing the bond strength in thermoplastic fiber composite fabricated by an open mold process by Ali, Basit

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NeuroBioSense: A multidimensional dataset for neuromarketing analysis by Büşra Kocaçınar (16303291)

“…<p>In the context of neuromarketing, sales, and branding, the investigation of consumer decision-making processes presents complex and intriguing challenges. …”

SVG-to-RDF image semantization by Salameh, Khouloud

“…Our solution is of linear complexity in the size of the image and knowledge base structures used. …”
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Application of Red Deer Algorithm in Optimizing Complex functions by Zitar, Raed

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Digital Image Watermarking Using Balanced Multiwavelets by Ghouti, L.

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Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures by Khatereh Mohammadi (17309662)

“…<p dir="ltr">In today’s era of increasing data complexity and pervasive noise, robust techniques for data processing, reconstruction, and denoising are crucial. …”

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

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Digital radiography image quality evaluation using various phantoms and software by Ioannis A. Tsalafoutas (14776939)

“…</p><h3>Conclusions</h3><p dir="ltr">Failure to detect some expected trends with the complex commercial phantoms may be attributed to the fact that IQ in DR is more strongly affected by the post‐processing procedures, which may mask the effect of other parameters on IQ, something that was not observed with the simple IAEA phantom.…”

FMI Formation Microimager - High Resolution Solution Tool to Reveal Structural Complexity, Western Desert, Egypt by Haddad, Elie G.

“…The processed FMI* image showed strong and distinctive evidence for the severe cataclastic<br>deformation, rocks breakage, fractures and brecciation owing to the crushing and pulverization<br>processes along the sub- seismic faults planes cutting through the studied formation.…”
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Deep Learning Assisted Automated Assessment of Thalassaemia from Haemoglobin Electrophoresis Images by Muhammad Salman Khan (17632266)

“…Since it is a very shallow network, MobileNetV2 also provides the least latency in processing a single-patient image and it can be suitably used for mobile applications. …”

FPGA-based Parallel Hardware Architecture for Real-time Object Classification by Qasaimeh, Murad Mohammad

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

“…Despite these developments, key fossil image processing and analysis tasks, such as segmentation and classification, still require significant user intervention, which can be labor-intensive and subject to human bias. …”

Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images by Ahila A (18394806)

“…Over the decade, numerous artificial neural network (ANN)-based techniques were adopted in order to diagnose and classify breast cancer due to the unique characteristics of learning key features from complex data via a training process. However, these schemes have limitations like slow convergence and longer training time. …”

Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

“…The material composition and volume of urban solid waste are key considerations in processing, managing, and utilizing city waste. Deep learning technologies have emerged as viable solutions to address waste management issues by reducing labor costs and automating complex tasks. …”

Artificial Intelligence–Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review by Hazrat Ali (421019)

“…ViT was used in different combinations with convolutional neural networks to capture both the global and local context of the input brain imaging data.</p><h3>Conclusions</h3><p dir="ltr">It can be argued that the computational complexity of transformer architectures is a bottleneck in advancing the field and enabling clinical transformations. …”

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

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