Farman Ali Khan

COMSATS University Islamabad | CUI · Department of Computer Science

This book presents use-cases of IoT, AI and Machine Learning (ML) for healthcare delivery and medical devices. It compiles 15 topics that discuss the applications, opportunities, and future trends of machine intelligence in the medical domain. The objective of the book is to demonstrate how these technologies can be used to keep patients safe and h...

Purpose Short-term motivation encompasses specific, challenging and attainable goals that develop in the limited timespan. On the other hand, long-term motivation indicates a sort of continuing commitment that is required to complete assigned task. As short-term motivational problems span for a limited period of time, such as a session, therefore,...

Increased demand of multimedia data over heterogeneous networks has led to the requirement for increased compression and suitable security. Both of these demands require heavy computation, and are contradictory to each other, as encryption may severely affect the compression efficiency. On the other hand, handheld devices have limited energy and co...

In traditional learning environments, it is easy for a teacher to get an accurate and deep understanding about how students are learning and undertaking tasks. This results in teacher understanding about each student’s learning preferences and behavior, which exhibits, for instance, students’ learning styles and affective states. On the other hand,...

Adaptive Learning Management System is a concept that has been recently explored to meet the individual needs of learners. Research studies regarding learning environments’, adaptation and personalization indicate that they play a key role to inspire, motivate and engage learners. The Learning Management Systems (LMSs) in this regard are currently...

Enhancement to clean speech from noisy speech has always been a challenging issue for the researcher’s community. Various researchers have used different techniques to resolve this problem. These techniques can be classified into the unsupervised and supervised approaches. Amongst the unsupervised approaches, Spectral Subtraction and Wiener Filter...

Selective encryption techniques are usually used with resource limited communication infrastructure and devices like wireless networks and mobile devices, to reduce computational burden in securing large video data. This technique of securing a subset of data and hence reducing computation is usually considered a compromise on security. Similarly,...

Recently, activity recognition and classification (ARC) of human activity opens new research area in the field health care, security, and privacy of human society. Specifically, the promise of device-free activity recognition platform attracts researchers to develop platform to ensure the correct detection of activity recognition. The technologies,...

Demand side management (DSM) is one of the most challenging areas in smart grids, which provides multiple opportunities for residents to minimize electricity cost. In this work, we propose a DSM scheme for electricity expenses and peak to average ratio (PAR) reduction using two well-known heuristic approaches: the cuckoo search algorithm (CSA) and...

Demand side management (DSM) is one of the most challenging areas in smart grids, which provides multiple opportunities for residents to minimize electricity cost. In this work, we propose a DSM scheme for electricity expenses and peak to average ratio (PAR) reduction using two well-known heuristic approaches: the cuckoo search algorithm (CSA) and...

With the rapid advancement in technology, electrical energy consumption is increasing rapidly. Especially, in the residential sector, more than 80% of electrical energy is being consumed because of consumer negligence. This brings the challenging task of maintaining the balance between the demand and supply of electric power. In this paper, we focu...

Demand Side Management (DSM) will play a significant role in the future smart grid by managing loads in a smart way. DSM programs, realized via Home Energy Management (HEM) systems for smart cities, provide many benefits; consumers enjoy electricity price savings and utility operates at reduced peak demand. In this paper, Evolutionary Algorithms (E...

With increasing demand for multimedia content over channels with limited bandwidth and heavy packet losses, higher coding efficiency and stronger error resiliency is required more than ever before. Both the coding efficiency and error resiliency are two opposing processes that require appropriate balancing. On the source encoding side the video enc...

Recent technological advancements shifted the trends of learning from e-learning to mobile learning, thus added new dimensions such as learning process can take place at anytime and anywhere. However this shifts faces some technological and design issues in m-learning and e-learning (i.e personalization). The factors that lead towards personalisati...

Recent technological advancements shifted the trends of learning from e-learning to mobile learning, thus added new dimensions such as learning process can take place at anytime and anywhere. However this shifts faces some technological and design issues in m-learning and e-learning (i.e personalization). The factors that lead towards personalisati...

Digital Repositories are precisely intended to support information retrieval activities. They evolve to retain pace with novelty on the internet. Therefore, requires calibration in the architecture of such system. However, in endeavoring to deliver the best services, research must prominence on enhancing the motivational strategies and recommendati...

In this paper we propose an ECG optimization model for a smart home based on DSM.The proposed model is an efficient SHEM strategy. The model is proposed keeping in view the minimization of energy consumption,energy consumption cost and energy generation cost.The model is based on efficient scheduling of appliances and an ECG optimization algorithm...

We present a computational study of the plasmonic response of a split nanoring dimer resonator which supports multiple plasmonic Fano-like resonances that arises by the coupling and interference of the dimer plasmon modes. For the generation of Fano resonances with large modulation depths, numerous configurations of the dimer resonator are analyzed...

Skin detection is used in applications ranging from face detection, tracking body parts and hand gesture analysis, to retrieval and blocking of objectionable content. We investigate color based skin detection. We linearly merge different color space channels representing it as a fusion process. The aim of fusing different color space channels is to...

In this article, a novel unordered classification rule list discovery algorithm is presented based on Ant Colony Optimization (ACO). The proposed classifier is compared empirically with two other ACO-based classification techniques on 26 data sets, selected from miscellaneous domains, based on several performance measures. As opposed to its ancesto...

Skin detection is used in applications ranging from face detection, tracking of body parts, hand gesture analysis, to retrieval and blocking objectionable content. We present a systematic approach for robust skin segmentation using graph cuts. The skin segmentation process starts by exploiting the local skin information of detected faces. The detec...

Illumination correction or Color Constancy (CC) is the abil-ity of humans for resolving the apparent colors of objects in a given scene independently of the illumination source. For robust skin detection in images/videos, we evaluate and investigate the effect of CC approaches on static skin segmen-tation approaches. The effect of five CC approache...

Learning styles and affective states influence students' learning. The purpose of this study is to develop a conceptual framework for identifying and integrating learning styles and affective states of a learner into web-based learning management systems and therefore provide learners with adaptive courses and additional individualized pedagogical...

Learning styles and affective states have a significant effect on student learning. The aim of this paper is to present a concept to identify and integrate learning styles and affective states of a learner into web-based learning management systems and therefore providing learners with adaptive courses and additional individualized pedagogical guid...

In a learning environment, the students experience different affective states. Learning environments that takes into account the students' affective state enhance the students' learning, gain and experience. Therefore, it is crucial to provide students with different learning material and activities according to different affective states. To provi...

Detecting the needs of the learner is a challenging task for systems addressing issues related to either adaptivity or personalization. In this paper we present a student-driven learning and assessment tool along with a tool for detecting/calculating learning styles and affective states. The learning and assessment tool enables learning, while the...