Evaluation of Neuro Images for the Diagnosis of Alzheimer's Disease Using Deep Learning Neural Network by Ahila A (18394806)

“…Most of the earlier methods used image processing techniques for preprocessing and attributes extraction and then developed a model or classifier to classify the brain images. …”

Toward Adaptive Intrusion Detection Systems for UAVs Using Cyber-Physical Image Analysis by Hanane Amirat (23126110)

“…To address these challenges, this study proposes a novel image-based deep learning approach that jointly analyzes cyber and physical features extracted from real UAV datasets. …”

Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection by Sulaiman Khan (12585349)

“…<h3>Objective</h3><p dir="ltr">During the last few years, underwater object detection and marine resource utilization have gained significant attention from researchers and become active research hotspots in underwater image processing and analysis domains. …”

First Impressions by Machine: Candidates’ Perceptions of Ethics and Employer Image in AI Recruitment Process by Al Moghrabi, Abdul Rahman

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Implementation of Deep Learning for Measurement of Penile Curvature on Real 2D Intraoperative Images by Sriman Bidhan Baray (15302398)

“…</p><h3 dir="ltr">Discussion</h3><p dir="ltr">This study demonstrates the successful implementation of deep learning and keypoint-based measurement of PC that could significantly improve patient assessment by surgeons and hypospadiology researchers.…”

Imaging Patterns in Breast Cancer for Women Under 40 Years: A Descriptive Cohort Study by Amal A. Alhaidary (21633410)

“…The aim of this study is to evaluate the imaging findings of breast cancer in women under the age of 40 and analyze their pathological patterns.…”

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

Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models by Meena Malik (17542089)

“…These are compound-scaling based models proposed by Google that are pretrained on ImageNet and have an accuracy of 74% to 84% in top-1 over ImageNet. …”

Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry by Jessica Roelands (7516439)

PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images by Kashif Munir (6182237)

Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review by Normaisharah Mamat (19517623)

“…Deep learning is a type of machine learning method inspired by the structure of the human brain and based on artificial neural network concepts. Through training phases that can label a massive amount of data and connect them up with their corresponding characteristics, deep learning can conclude unlabeled data in image processing. …”

AI-Based Multiclass Grading of Hepatic Steatosis From B-Mode Ultrasound: Generalization Across Modalities and Clinical Comparison With Radiologists by Fahad Muflih Alshagathrh (18427950)

“…In a separate radiologist–AI comparison on 224 biopsy-confirmed images not used for training or validation, the AI reached 91.96% accuracy, significantly exceeding radiologists’ 19.64%–31.70% (McNemar’s test, <i>p</i><0.001 ), with strong agreement to ground truth (<i>κ</i>=0.893) versus radiologists’ poor-to-slight agreement (<i>κ</i>=0.006 –0.194). …”

Moderating Effects of Tourists’ Novelty-Seeking Tendencies on Destination Image, Visitor Satisfaction, and Short- and Long-Term Revisit Intentions by Assaker, Guy

“…Tourists’ novelty-seeking tendencies have a moderating effect on the causal relationships among destination image, satisfaction, and revisit intentions. The effect of destination image on visitor satisfaction, as well as satisfaction on short-term revisit intentions, is significantly weaker for high novelty seekers as compared to low novelty seekers. …”
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Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization by Ahila Amarnath (19482388)

“…<p dir="ltr">Speckle noise is a pervasive problem in medical imaging, and conventional methods for despeckling often lead to loss of edge information due to smoothing. …”

Metformin attenuates V-domain Ig suppressor of T-cell activation through the aryl hydrocarbon receptor pathway in Melanoma: In Vivo and In Vitro Studies by Fawaz E., Alanazi

“…VISTA and AHR levels were assessed by qPCR, Western blot, immunofluorescence microscope, flow cytometry, and immunohistochemistry. Here, metformin significantly decreased VISTA and AHR levels in vitro and in vivo. …”
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Follow up and comparative assessment of IgG, IgA, and neutralizing antibody responses to SARS-CoV-2 between mRNA-vaccinated naïve and unvaccinated naturally infected individuals ov... by Salma, Younes

“…At the 7th month, there was a significant decline in antibody responses among VN individuals, but not NI individuals, with a minimum decrease of 3.7-fold (p < 0.001). …”
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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 by Krishnamoorthy Natarajan (22047464)

Dynamics of Muslim consumers’ behavior toward Halal products by Osama Sam Al-Kwifi (18061030)

“…</p><h3>Findings</h3><p dir="ltr">Across all participants, the level of brain activation in the ventromedial prefrontal cortex increased significantly when Halal images were presented to them. …”

The effect of Ramadan focused education on patients with type 2 diabetes: A systematic review and meta-analysis by Hoda Gad (6470522)

“…</p><h3>Conclusions</h3><p dir="ltr">This systematic review and meta-analysis shows that Ramadan-focused diabetes education leads to a decrease in HbA1c and LDL, but an increase in TG and weight during Ramadan. …”

Memory synthesis for FPGA-Based reconfigurable computers by Ouaiss, Iyad

“…An intelligent usage of these memories can lead to a significant improvement in the latency of the overall design. …”
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