Out-of-school children (OSC) surveys are conducted annually throughout Pakistan, and the results show that literacy rate is increasing gradually, but not at desired speed. Enrollment campaigns targets system of enrollment given to schools required a valuable model analyze criteria better. In existing studies, research community mainly focused on performance evaluation, dropout ratio, results, rather than student enrollment. There great need develop for analyzing in schools. this proposed...

This paper describes a neoteric approach to bridge the communication gap between deaf people and normal human beings. In any community there exists such group of disable who face severe difficulties in due their speech hearing impediments. Such use various gestures symbols talk receive messages this mode is called sign language. Yet problem doesn't end here, as natural language speakers don't understand resulting gap. Towards ends need develop system which can act an interpreter for...

Abstract The challenges in citywide traffic flow are intricate, encompassing various factors like temporal and spatial dependencies, holidays, weather. Despite the complexity, there still research gaps effectively incorporating these spatio‐temporal relations through deep learning. Addressing is crucial for tackling issues such as congestion, public safety, efficient management within cities. This paper underscores notable gaps, including development of models capable handling both local...

This paper uses a neural network approach transformer of taxi driver behavior to predict the next destination with geographical factors. The problem predicting is well-studied application human mobility, for reducing traffic congestion and optimizing electronic dispatching system’s performance. According Intelligent Transport System (ITS), this kind task usually modeled as multi-class problem. We propose novel model Deep Wide Spatial-Temporal-Based Transformer Networks (DWSTTNs). In our...

Abstract Smart video surveillance helps to build more robust smart city environment. The varied angle cameras act as sensors and collect visual data from environment transmit it for further analysis. transmitted is required be in high quality efficient analysis which a challenging task while transmitting videos on low capacity bandwidth communication channels. In latest cameras, of transmission maintained through various encoding techniques such efficiency coding. However, these coding still...

ABSTRACT Predicting crowd flows in smart cities poses a significant challenge for the intelligent transportation system (ITS). Traffic management and behavioral analysis are crucial have garnered considerable attention from researchers. However, accurately timely predicting flow is difficult due to various complex factors, including dependencies on recent neighboring regions. Existing studies often focus spatial–temporal but neglect model relationship between distant areas. In our study, we...

The emerging concepts of sustainable textiles and controlled production strategy demands ideally zero emissions contaminants into the aquatic environment. However, currently in-practiced conventional processes in dispose a number especially super toxic synthetic dyes as effluents. In recent years, nanomaterials have become attractive choice for eco-friendly removal organic dyestuff. Accordingly, this article reports synthesis characterization biocomposite wherein copolymer polyaniline (PANI)...

Recently, for public safety and traffic management, flow prediction is a crucial task. The citywide problem still big challenge in cities because of many complex factors. However, to handle some factors, e.g., spatial-temporal external factors the intelligent forecasting problem, data urban applications (i.e., travel time estimation, trajectory planning, taxi demand, congestion, regional rainfall) inherently stochastic unpredictable. In this paper, we proposed deep learning-based novel model...

Ethereum smart contracts have been gaining popularity toward the automation of so many domains, i.e., FinTech, IoT, and supply chain, which are based on blockchain technology. The most critical domain, e.g., has targeted by successful attacks due to its financial worth billions dollars. In all attacks, vulnerability in source code is being exploited causes steal millions To find written Solidity language, a state-of-the-art work provides lot solutions dynamic or static analysis. However,...

Abstract Taxi demand forecasting from origin to destination (OD) is an important component in managing public transportation needs on a city‐wide scale. Accurate taxi may provide several benefits, including economic and traffic flow optimization. However, due complicated spatial–temporal connections irregular distant locations, predicting becomes difficult. To address these issues, we proposed novel architecture of multi‐module networks collectively predict OD demand. In our work deal with...

Network of computers and associated equipment that spans the globe is commonly known as cyberspace. Countries have grown more dependent on this interconnected system, which has permeated almost every aspect daily life. Social media emerged a key factor in cybercrime, alongside other activities such online shopping banking. In today's world, cyber-attacks can significant strategic consequences by giving attackers control networks access to sensitive information. The recent incidents involving...

Abstract This paper shares the initial findings of second three components a 3-year research project. The specific are (1) Component 1: Development, field-testing, and refinement qualitative data collection instruments used for research; (2) 2: Mixed-methods analysis; (3) 3: Integration self-regulation within engineering mathematics (EM) courses workshops. major objective project is to advance education theory practice related students' self-regulation, which includes how students...

Abstract This poster shares the research design and initial findings of early stage a 3-year funded by National Science Foundation. The major aim project is to advance engineering mathematics (EM) education theory practice related students' self-regulation cognition motivation skills during problem-solving activities. includes metacognitive knowledge about task (MKT) (SRC). motivational component (SRM) self-control needed maintain level engagement deliberate necessary for scientific thinking...

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Introduction: Medical education has both positive and negative impact on the medical student. Initially subject of anatomy later other disciplines create mental emotional stress for many students. Nevertheless, is imperative in developing highly professional doctors. Aims Objectives: This research aimed to study effect personality behavior 2nd year students Anatomy Department. Place Duration study: was conducted at Department Azra Naheed College Lahore (Dec 2022-March 2023). Material...

Abstract Undergraduate research has received growing attention in recent years due to its positive impact on engineering, including increasing students' understanding, confidence, awareness, and interest numerous engineering subjects. Our experience for the undergraduate (REU) program focuses educational research, which is expose train students emerging education through independent, collaborative well-managed, high-quality projects. This paper shares findings of REU participants' perception...

Abstract This paper reports preliminary findings from a National Science Foundation (NSF) funded research targeting the enhancement of Engineering and Mathematics (EM) education. The project's central objective revolves around explaining critical role students' metacognitive knowledge about task (MKT) self-regulation in action (SRA) during problem-solving activities. seeks to understand interplay between MKT SRA, how it leads their performance two second-year engineering mathematics courses,...

Abstract The profound impact of cognitive factors on student's performance while solving complex and ill-structured problems is well recognized. A success in problem-solving finely shaped by task complexity, goal orientation the need for closure, their level engagement. For educators science, technology, engineering, mathematics (STEM), it important to understand how complexity combine influence processes prepare STEM students professionally ensure they are well-equipped meet growing needs...

Abstract Cognitive engagement, a complex concept in the field of education, has great impact on student learning that can be assessed using facial expression analysis. Facial analysis uses visual information to detect and recognize human emotions as measure student's cognitive particularly during problem–solving activities. This systematized literature review explores empirical understand relationships between students' engagement levels highlight different phases concerning tasks...

It is certain that the future of network will be mobile utter. Google`s Android platform a widely forecast open source operating system for phones. This article about Android`s security model and seeks to reveal complexity secure application development, identifying lessons opportunities enhancements. provides way download an managing access permission using phone. Following shows how without virus or user android in convenient way. manage permissions both automatically manually. The can...