Muhammad Zafar

Jan 30, 2025 | arxiv.org | Muhammad Hamza |Muhammad Zafar

[Submitted on 30 Jan 2025] Title:Efficient Transformer for High Resolution Image Motion Deblurring View a PDF of the paper titled Efficient Transformer for High Resolution Image Motion Deblurring, by Amanturdieva Akmaral and 1 other authors View PDF HTML (experimental) Abstract:This paper presents a comprehensive study and improvement of the Restormer architecture for high-resolution image motion deblurring.

Nov 7, 2024 | medium.com | Muhammad Zafar

Muhammad Zafar·Follow4 min read·--Ever wondered what happens when math nerds, computer geeks, and business folks have a pizza party? You get data science! It’s like being a detective, but instead of looking for fingerprints, you’re hunting for patterns in massive piles of data. And trust me, it’s way more exciting than it sounds!Think of data science as the art of turning mountains of seemingly random information into “aha!” moments.

Oct 29, 2024 | medium.com | Muhammad Zafar

Muhammad Zafar·Follow5 min read·--Photo by Nahrizul Kadri on UnsplashAt its core, Artificial Intelligence (AI) is a branch of computer science focused on creating systems capable of performing tasks that require human-like intelligence. These tasks include understanding language, recognizing patterns, solving problems, and making decisions. The goal of AI is to create a system that mimics the human brain’s learning and decision-making capabilities.

Sep 27, 2024 | nature.com | Farooq Azam |Sheraz Ahmad |Faheem A. Ahmad |Muhammad Zafar |Muhammad Adnan Khan |Bushra Mushtaq | +2 more

Flame retardant (FR) finishing is crucial for developing protective textiles, traditionally relying on halogen, phosphorus, and phosphorus-nitrogen chemistries, which have limitations like toxicity and fabric stiffening. Innovative approaches such as nanotechnology, plasma treatments, and natural resource-based finishes are being explored to achieve sustainable FR textiles. This study presents the development and comprehensive characterization of hydrogel composites made from nonwoven fabrics composed of various hemp/wool blends (70/30, 80/20, and 90/10). The nonwoven fabrics were treated with a chitosan hydrogel incorporating banana sap to enhance their properties. Scanning electron microscope (SEM) examined the surface morphology and structural integrity of the composites, while Fourier transform infrared spectroscopy (FTIR) identified chemical interactions and functional groups. Differential scanning calorimeter (DSC) revealed thermal properties, water absorbency tests demonstrated hydrophilicity, mechanical testing assessed tensile strength, and vertical flammability tests evaluated fire resistance. SEM and FTIR revealed a successful coating of chitosan hydrogel with banana sap inclusions onto the hemp/wool nonwoven fabric, forming a composite structure. DSC analysis suggests higher chitosan content and hemp fiber ratio (like 70/30) lead to increased thermal stability of hydrogel composites. Higher chitosan concentrations in the hydrogel significantly improve the flame-retardant properties of hemp/wool nonwoven fabrics by reducing char length and enhancing protective char layer formation, with banana sap further promoting charring. These results indicate that the developed composite can be effectively used in flame-retardant textiles.

Sep 10, 2024 | bmcpsychology.biomedcentral.com | Muhammad Zafar

The current study aimed to check how and why psychological entitlement leads to positive and negative outcomes in hotel employees. Based on social comparison theory, this study contributes to the literature by proposing and empirically testing engagement in learning activities and psychological anxiety as an outcome of psychological entitlement. Furthermore, benign and malign envy is considered a possible explanatory mechanism in the proposed relationships.