Factors affecting university image among undergraduate students: the case study of qatar university حسب Khalifa Alhaza (21259496)

"…<p dir="ltr">Worldwide there is an increase in competition between higher education institutions seeking to ascertain their position in the world ranking, resulting in universities introspectively reflecting on their image and student satisfaction. This is especially the case in the Gulf Cooperation Countries, where there has been significant growth in higher education institutions. …"

Toward Adaptive Intrusion Detection Systems for UAVs Using Cyber-Physical Image Analysis حسب 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 حسب 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 حسب Al Moghrabi, Abdul Rahman

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Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment حسب Ikhlas Ghiat (16932564)

Imaging Patterns in Breast Cancer for Women Under 40 Years: A Descriptive Cohort Study حسب 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 حسب Faizul Rakib Sayem (21399890)

Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models حسب 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. …"

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

Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review حسب 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. …"

An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering حسب Surjeet Dalal (4906894)

"…<p dir="ltr">Brain tumors in Magnetic resonance image segmentation is challenging research. With the advent of a new era and research into machine learning, tumor detection and segmentation generated significant interest in the research world. …"

Fabrication of low emissivity paint for thermal/NIR radiation insulation for domestic applications حسب H.M. Fayzan Shakir (17562507)

"…., the emissivity of commercially available paint is 0.9) by imparting low emissivity particles in the base paint but not suitable to reduce near-infrared radiation. …"

Moderating Effects of Tourists’ Novelty-Seeking Tendencies on Destination Image, Visitor Satisfaction, and Short- and Long-Term Revisit Intentions حسب 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 حسب 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 حسب 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... حسب 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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AI-Based Multiclass Grading of Hepatic Steatosis From B-Mode Ultrasound: Generalization Across Modalities and Clinical Comparison With Radiologists حسب 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). …"

Deep aging clocks: AI-powered strategies for biological age estimation حسب Luma Srour (22254409)

"…Here, we summarize the current deep aging clocks, including epigenetics, transcriptomics, metabolomics, microbiome, and imaging based clocks for age prediction. Recent advances in artificial intelligence (AI), utilizing deep learning techniques, have significantly enhanced the prediction of biological aging, and this would help improve aging clocks and accelerate efforts to reach longer and healthier lives.…"

The effect of Ramadan focused education on patients with type 2 diabetes: A systematic review and meta-analysis حسب 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 حسب 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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