This paper presents a novel hybrid copy–move forgery detection method that combines the efficiency of FAST-BRIEF (for rapid keypoint detection and binary descriptors) with the robustness of SIFT (for scale- and rotation-invariant feature matching). The proposed framework employs g2NN matching for accurate feature correspondence, followed by morphological processing and LSC-SSIM superpixel segmentation for precise localization of tampered regions. The method is evaluated on 30 diverse test images from benchmark datasets comprising over 700 images, achieving a 95% F-measure with an average CPU time of 6.02 seconds. It demonstrates strong resilience to geometric transformations (rotation, sca... More >

This study aims to computationally investigate the role of WS2 as an electron transport layer (ETL) and CuI as a hole transport layer (HTL) in optimizing the performance of perovskite solar cells (PSCs). The novelty lies in systematic optimization of band gaps, layer thicknesses, and temperatures to achieve enhanced performance metrics, utilizing the unique properties of WS2 and CuI, which are less explored compared to conventional materials like TiO_2 and Spiro-OMeTAD. The optimized PSC configuration achieves a power conversion efficiency (PCE) of 20.71% with a fill factor (FF) of 71.80%, an open-circuit voltage (Voc) of 0.8469 V, and short-circuit current density (Jsc) of 34.06894 mA/cm^2... More >

Strain sensors have become fundamental to contemporary sensing technology driven by the growing demand for flexible, sensitive, and durable sensors, transforming across a broad range of applications including medical care, robotics, structural monitoring, human-machine interface and robotics. The swift progress in the fields of materials and nanotechnology has facilitated the fabrication of very flexible, resilient, and ultra-sensitive strain sensors, enabling the emergence of next-generation electronic devices. This mini review covers sensors, strain sensors' fundamentals, classifications, innovative materials utilized, applications overall provide an in-depth analysis of the latest develop... More >

This paper reviews advancements in assistive technology for deaf and hard of hearing individuals, highlighting the Internet of Things' (IoTs) pivotal role in enhancing their daily lives. Despite progress in sign language technologies, communication barriers persist. To address these gaps, we developed a video-based American Sign Language (ASL) identification system. Our approach utilizes MediaPipe for hand tracking, OpenCV for image normalization, and Gesture Control Convolutional Neural Network (CNN) for gesture localization. Implemented in Python, the system records video streams, filters hand regions, and recognizes ASL letter gestures with high accuracy. Leveraging computer vision and ma... More >

As we know, the world is rapidly moving towards 5G and B5G technology to achieve high data rates, massive communication capacity, connectivity, and low latency. 5G offers a latency of less than 1 ms and extremely high data volume compared to previous technologies. The main challenge is the complex nature of 5G network deployment, especially at high frequencies (3–300 GHz) on a university campus with varied building structures. In this paper, we will discuss a scenario for deploying 5G at the Mirpur University of Science and Technology (MUST) in Mirpur, Pakistan so that telecom operators and vendors who wish to deploy a 5G network on the campus in the future can draw on our research finding... More >