Clinical diagnostic reference levels in neuroradiology based on clinical indication by Antar Aly (13272312)

Machine Learning Based Palm Farming: Harvesting and Disease Identification by Khan, Sana Z.

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Assessing Factors Influencing Customers’ Adoption of AI-Based Voice Assistants by Surbhi Choudhary (21633701)

“…The study reveals that the “value of openness to change” poses a significant effect toward “reasons for” adoption, among which “performance expectancy” and “hedonic motivation” play the most significant role in establishing a favorable attitude toward voice assistants’ adoption. …”

Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network by Khadija Manzoor (22565369)

“…For SLICE-3D, we evaluated both tabular-only and image + metadata fusion approaches using XGBoost classifier and ResNet-based classifier, respectively.…”

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. …”

Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application by Abdus Salam (1918387)

A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks by THOMAS, RAJESH

“…Network-based cyber-attacks have been increasing in scale, frequency and sophistication, posing significant threats to nation states and organizations worldwide. …”
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YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm by Prabu Selvam (22330264)

“…Accurately identifying small defects on PCB surfaces remains a considerable challenge, particularly under complex background conditions, due to the intricate and compact layout of the boards. …”

The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer by Saidul Kabir (15302407)

“…Materials and Methods A deep learning-based automatic framework was utilized for the automatic detection of Her-2/neu score from whole slide images (WSI). …”

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

“…Materials and MethodsA deep learning-based automatic framework was utilized for the automatic detection of Her-2/neu score from whole slide images (WSI). …”
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Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist Technology by Mohamed Habib, Ahmed

“…The implications of WCM performance on social interests would cause decision-makers to use the best strategies and procedures to enhance WCM activities to improve their investments and image in the community in which it oper ates. We advance a novel contribution to the literature by analyzing and apprais ing the WCME for companies before and during the coronavirus crisis using a new approach based on DEA-Malmquist technology and then examining whether the coronavirus crisis has affected the WCME.…”
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Improving the reconstruction of dental occlusion using a reconstructed-based identical matrix point technique by Sukumaran Anil (14158935)

“…Satisfactory restoration and occlusion tests have been analyzed using a dental experimental setup with high-quality digital camera images. Further, the high-quality camera images are converted to grayscale images for mathematical computation using MATLAB image processing toolbox. …”

Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniques by Abu Jaffor Morshedul Abedin (22803884)

Fabrication of low emissivity paint for thermal/NIR radiation insulation for domestic applications by 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. …”

A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming by Shah Nazir (14779162)

Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience by Marwan Abdellah (4435360)

Simultaneous Multi-Adulterant Detection in Milk Using an In-house Developed Multiplexed Microfluidic Paper-Based Analytical Device (M-µPAD) by Jannat Ahsan (22466530)

“…<p dir="ltr">Milk adulteration poses a significant challenge in developing countries, impacting food safety and public health. …”

A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection by Younes Akbari (16303286)

“…<p>Multimodal medical imaging combining conventional imaging modalities such as mammography, ultrasound, and histopathology has shown significant promise for improving breast cancer detection accuracy. …”

Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? by Ahmed Soliman (4591621)

“…While conventional manual techniques are time-consuming and prone to errors, advanced deep learning models have shown promising results in medical image segmentation. Recently, several complex architectures, such as vision Transformers and attention-based convolutional neural networks (CNNs), have been introduced for this task. …”

Application of TiO₂-loaded fly ash-based geopolymer in adsorption of methylene blue from water: Waste-to-value approach by Johaina Alahmad (19205965)

“…Scanning electron microscopy images exhibited a porous morphology. Furthermore,<u> transmission electron microscopy</u> images revealed a nanostructured shape, with <u>nanoparticles</u> clumping together to form small channels suitable for MB adsorption. …”