Imran Sarwar Bajwa

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Verified

Imran verified their affiliation via an institutional email.

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• Doctor of Philosophy
• Professor at Islamia University of Bahawalpur

Obstacle Detection plays a vital role in improving the mobility and independence of visually impaired individuals. This study introduces a smart knee glove equipped with machine learning technologies for real-time obstacle detection and alerts. The proposed system integrates ultrasonic sensors, PIR sensors and a buzzer with data processed by an Ard...

The paper proposes a real-time obstacle detection and recognition system for visually impaired individuals, designed to enhance their navigation using assistive technology. This system integrates a mobile application equipped with a mini camera for real-time image capture, employing advanced deep learning techniques to process and classify objects....

Object detection is a critical task in computer vision, essential for real-time applications ranging from autonomous vehicles to surveillance systems. This proposed work presents a comparative evaluation of Single Shot Multibox Detector (SSD algorithms). YOLOv3, MobileNetv3, RetinaNet and Faster R-CNN, in the context of real-time obstacle detection...

The splendid technological inventions supersede many traditional agricultural monitoring systems. In the last decade, a variety of new techniques and tools are proposed to monitor storage areas, which provide more safe and secure storage for different crops. The term storage area monitoring is supposed to check and avoid fire hazards, whereas numer...

An Artificial Intelligence (AI)-enabled human-centered smart healthcare monitoring system can be useful in life saving, specifically for diabetes patients. Diabetes and heart patients need real-time and remote monitoring and recommendation-based medical assistance. Such human-centered smart healthcare systems can not only provide continuous medical...

This research focuses on the performance evaluation of mobile stereonet for real-time navigation in mobile robots. The use of mobile stereonet for depth estimation and path planning has become increasingly important in the field of robotics. The research is conducting by implementing the mobile stereonet algorithm for real time navigation on a Rasp...

The combustion of agricultural storage represents a big hazard to the safety and quality preservation of crops during lengthy storage times. Cotton storage is considered more prone to combustion for many reasons, i.e., heat by microbial growth, exothermic and endothermic reactions in storage areas, and extreme weather conditions in storage areas. C...

Recommendation services become a critical and hot research topic for researchers. A recommendation agent that automatically suggests products to users according to their tastes or preferences instead of wandering in a huge corpus for a product. Social data such as Reviews play an important role in the recommendation of products. Improvement was ach...

In this modern age of technology, the Internet of things has covered all aspects of life including smart situations, smart homes, and smart spaces. Smart homes have a large number of IoT objects that are working continuously without any interruption. Better security and authentication of these smart devices can provide peaceful environments to live...

Radiations are especially harmful to children and infants as their body cells divide rapidly, thus providing radiations more chances to interfere with the organs, leading to a number of diseases, especially those related to the skin. Therefore, the demand for a system that can detect harmful radiations timely and effectively becomes high. Many new...

Recommendation services become an essential and hot research topic for researchers nowadays. Social data such as Reviews play an important role in the recommendation of the products. Improvement was achieved by deep learning approaches for capturing user and product information from a short text. However, such previously used approaches do not fair...

Background:Inflammation of liver causes acute or chronic infection called hepatitis. Inflammation is a sort of swelling that happens when body tissues are contaminated or injured. Liver is a vibrant organ of our body that is used to process nutrients, scrimmage infections and purify the blood. Heavy use of ethanol, some medication and toxin can cau...

IoT Security: Key for Future of Internet of Things

The original version of the book’s subtitle was revised: the conference city was corrected from Grimstad, Norway, to Gjøvik, Norway.

Soil salinity accumulates a high concentration of salts in soils that interfere with normal plant growth. Early detection and quantification of soil salinity are essential to effectively deal with soil salinity in agriculture. Soil salinity quantification and mapping at the irrigation scheme level are vital to evaluating saline soil's reclamation a...

In the field of human computer interaction (HCI), the usability assessment of m-learning (mobile-learning) applications is a real challenge. Such assessment typically involves extraction of best features of an application like efficiency, effectiveness, learnability, cognition, memorability, etc., and further ranking of those features for overall a...

The periodic inspection of railroad tracks is very important to find structural and geometrical problems that lead to railway accidents. Currently, in Pakistan, rail tracks are inspected by an acoustic-based manual system that requires a railway engineer as a domain expert to differentiate between different rail tracks’ faults, which is cumbersome,...

In consideration of the reduced chaotic range and susceptibility of a single chaotic map, we exploit the 4D-hyperchaotic system for creating three S-boxes i.e., red, green and blue S-boxes and a logistic map to transform a plain image into DNA strands. Afterwards, a logistic map based fake image is also generated which is also mapped to DNA strands...

Natural Language (NL) is the root cause of ambiguity in the SRS document. The quality of the software development process can be improved by mitigating the risk with the use of semantically controlled representation. A possible solution to handle ambiguity can be the use of a mathematical formal logic representation in place of NL to capture softwa...

The patients with surgical and nonsurgical skin wounds shall maintain regular check on wounds in order to assure in-time wound healing. There are numerous measures need to verify during wound checking, that is, wound appearance (wound color and size), wound environment. The wound appearance could verify by a number of clinical techniques presented...

Rapid growth of Internet of Things (IoT), and other intelligent devices, introduced different applications which offer real-time latency features; however, it is difficult to handle the large volumes of data produced during the computational process, to adequately complete tasks. The decentralized edge computing process handles the task at the user...

Authorship attribution refers to examining the writing style of authors to determine the likelihood of the original author of a document from a given set of potential authors. Due to the wide range of authorship attribution applications, a plethora of studies have been conducted for various Western, as well as Asian, languages. However, authorship...

Visual saliency techniques based on Convolutional Neural Networks (CNNs) exhibit an excessive performance for saliency fixation in a scene, but it is harder to train a network in view of their complexity. The imparting Residual Network Model (ResNet) that is more capable to optimize features for predicting salient area in the form of saliency maps...

The modern age is an era of fast-growing technology, all thanks to the Internet of Things. The IoT becomes a prime factor of human life. As in this running world, no one cares about the wastage of food. However, this causes environment pollution as well as loss of many lives. A lot of researchers help in this era by introducing some great and benef...

Agriculture is suffering from the problem of low fertility and climate hazards such as increased pest attacks and diseases. Early prediction of pest attacks can be very helpful in improving productivity in agriculture. Insect pest (whitefly) attack has a high influence on cotton crop yield. Internet of Things solution is proposed to predict the whi...

Sentiment Analysis is a method of extracting useful insight from text or expressions that help make decisions for different fields like establishing a new business, purchasing electronic products, or overall community analysis. Different techniques for sentiment analysis have been used in various researches. This research used a machine learning cl...

Sentiment Analysis is a method of extracting useful insight from text or expressions that help make decisions for different fields like establishing a new business, purchasing electronic products, or overall community analysis. Different techniques for sentiment analysis have been used in various researches. This research used a machine learning cl...

Google Play Store is the emerging platform in which millions of applications are releasing every day. Users install various applications on their Android phones. We perform detailed analysis on dataset for finding a relationship among various app attributes. Therefore, we use web scraping and collected the metadata of various categories of applic...

An inconsistent and ambiguous Software Requirement Specification (SRS) document results in an erroneous/failed software project. Hence, it is a serious challenge to handle and process complex and ambiguous requirements. Most of the literature work focuses on detection and resolution of ambiguity in software requirements. Also, there is no standardi...

The Internet of Health Thing (IoHT) has various applications in healthcare. Modern IoHTintegrates health-related things like sensors and remotely observed medical devices for the assessment and managment of a patient's record to provide smarter and efficient health diagnostics to the patient. In this paper, we proposed an IoT with a cloud-based cli...

In the recent past, a different set of algorithms for watermarking and securing the color images have been developed by using transformation, decomposition, and optimization techniques for watermark embedding and extraction. In this paper, we propose an optimized and robust watermarking algorithm coupled with a 4D hyperchaotic system, and its perfo...

Smart parsimonious and economical ways of irrigation have build up to fulfill the sweet water requirements for the habitants of this world. In other words, water consumption should be frugal enough to save restricted sweet water resources. The major portion of water was wasted due to incompetent ways of irrigation. We utilized a smart approach prof...

The intake of the perishable fruits and vegetables (FVs) in the human diet can contribute to reduce the risk of some chronic diseases. But unfortunately, FVs loss rate is high among all the food produced annually and occurs at storage stage of post-harvest life cycle. One of the key factors contributing to this high loss rate is inability to gauge...

This book constitutes the refereed post-conference proceedings of the Third International Conference on Intelligent Technologies and Applications, INTAP 2020, held in Grimstad, Norway, in September 2020. The 30 revised full papers and 4 revised short papers presented were carefully reviewed and selected from 117 submissions. The papers of this volu...

Healthcare facilities in modern age are key challenge especially in developing countries where remote areas face lack of high-quality hospitals and medical experts. As artificial intelligence has revolutionized various fields of life, health has also benefited from it. The existing architecture of store-and-forward method of conventional telemedici...

Getting quality sleep is important for every person to get better physical health. Irregular sleep patterns may indicate the illness resulting in chronic depression, which makes the evaluation of the sleep cycle mandatory for a healthy body and mind. In the arena of globalization, along with the increased facilities, various other challenges have b...

The resource description framework is a method which help us to interchange and reuse of metadata. Early metadata gives a simple method for performing and reporting Data checks. Checks are indicated in an intuitive way to find at which extend we find the relevant data. Moreover, to create vocabularies to handle metadata of larger data sets and to c...

This book constitutes the refereed proceedings of the Second International Conference on Intelligent Technologies and Applications, INTAP 2019, held in Bahawalpur, Pakistan, in November 2019. The 60 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 224 submissions. Additionally, the volume presents...

Skin wounds either minor or chronic may heal up with different time durations. But, this time duration of healing could not be easily predicted as healing is affected by different factors, e.g., age, nutrition, medication, and surroundings. Despite these factors, wound characteristic also plays a role in the healing process. Wound characteristics i...

Soil salinity is a soil degradation phenomenon with a severe impact on crop production. Internet of Things (IoT)-assisted solution is proposed in this article to determine soil salinity level and environment conditions to recommend irrigation water, with a purpose to leach down the salts from the root zone of crops in saline soils. IoT and machine...

Clinical research of wound assessment focused on physical appearance of wound i.e. wound width, shape, color etc. Although, wound appearance is most crucial factors to influence healing process. however, apart from wound appearance other factors also contribute in healing process. Wound internal and external environment is one such factor that may...

his paper describes a hybrid CPU/GPU approach for solving a two-phase mathematical model numerically. The dynamic of drug release between the first phase (coating) and second phase (arterial tissue) is represented by a system of partial differential equations (PDEs). The system of equations is discretized by Finite Element Method. The whole discret...

The recommendation systems are getting important due to their significance in decision making, social and economic impact on customers and getting detailed information relevant to a required product or a service. A challenge in getting true recommendations in terms of relevance is the heterogenous nature of data (likes, ratings, reviews, etc.) that...

In recent times, selection of a suitable hotel location and reservation of accommodation have become a critical issue for the travelers. The online hotel search has been increased at a very fast pace and became very time-consuming due to the presence of huge amount of online information. Recommender systems (RSs) are getting importance due to their...

This paper presents an intelligent approach to handle heterogeneous and large-sized data using machine learning to generate true recommendations for the future customers. The Collaborative Filtering (CF) approach is one of the most popular techniques of the RS to generate recommendations. We have proposed a novel CF recommendation approach in which...

Clinical research of wound assessment focused on physical appearance of wound i.e. wound width, shape, color etc. Although, wound appearance is most crucial factors to influence healing process. however, apart from wound appearance other factors also contribute in healing process. Wound internal and external environment is one such factor that may...

Clinical research of wound assessment focused on physical appearance of wound i.e. wound width, shape, color etc. Although, wound appearance is most crucial factors to influence healing process. however, apart from wound appearance other factors also contribute in healing process. Wound internal and external environment is one such factor that may...

Featured Application Smart device for the patients to monitor wounds for early and timely healing. Abstract Skin wound healing is influenced by two kinds of environment i.e., exterior environment that is nearby to wound surface and interior environment that is the environment of the adjacent part under wound surface. Both types of environment play...

In the last decade, sentiment analysis, opinion mining and subjectivity of microblogs in social media have been attracted a great deal of attention of researchers. Movies Recommendation systems are the tools, which provide valuable services to the users. The data available online is growing gradually because the online activities of users or viewer...

There are many factors that may have a significant effect on the skin wound healing process. The environment is one of them. Although different previous research woks have highlighted the role of environmental elements such as humidity, temperature, dust, etc., in the process of skin wound healing, there is no predefined method available to identif...

In the recent past, a few fire warning and alarm systems have been presented based on a combination of a smoke sensor and an alarm device to design a life-safety system. However, such fire alarm systems are sometimes error-prone and can react to non-actual indicators of fire presence classified as false warnings. There is a need for high-quality an...

Globally, urbanization has increased due to the availability of the facilities, jobs, and better standard of living in cities. Increase in urban population has caused increase in urban commute. The increased pressure on urban settlements has made design and optimization of urban civil infrastructure very challenging especially road transport infras...

In an era of super computing, data is increasing exponentially requiring more proficiency from the available technologies of data storage, data processing, and analysis. Such continuous massive growth of structured and unstructured data is referred as a “Big data”. The processing and storage of big data through conventional technique is not possibl...

Key-Value stores (KVSs) are the most flexible and simplest model of NoSQL databases, which have become highly popular over the last few years due to their salient features such as availability, portability, reliability, and low operational cost. From the perspective of software engineering, the chief obstacle for KVSs is to achieve software quality...

A user's software requirements are represented in natural language or a speech such as English. Translating these requirements into the object-oriented models is a tough process for designers. This article proposes a neoteric approach to generate Unified Modeling Language (UML) class models instantly from software requirement specifications (SRS)....

Cross-lingual plagiarism occurs when the source (or original) text(s) is in one language and the plagiarized text is in another language. In recent years, cross-lingual plagiarism detection has attracted the attention of the research community because a large amount of digital text is easily accessible in many languages through online digital repos...

Business information required for applications and business processes is extracted using systems like business rule engines. Since the advent of Big Data, such rule engines are producing rules in a big quantity whereas more rules lead to more complexity in semantic analysis and understanding. This paper introduces a method to handle semantic comple...

In this paper, a novel approach is presented for authorship identification in English and Urdu text using the LDA model with n-grams texts of authors and cosine similarity. e proposed approach uses similarity metrics to identify various learned representations of stylometric features and uses them to identify the writing style of a particular autho...

In the recent years text based digital forensic has evolved into a major research domain that support digital investigation. A piece of text can be a critical source of information that is written by somebody with respect to writing style, usage of typical vocabulary, etc. In this paper, we present a unified approach for intelligent association ana...

Process model play a vital role in structure analysis of system as it can identify system’s classes, their attributes, operations (or methods), and the relationships among objects. These class models can be go together with state diagrams or UML state machine to identify the behavior of systems. Currently web is huge source of information which con...

Semantics of Business Vocabulary and Business Rule (SBVR) were introduced to describe the business process in most formal way. SBVR specify business rules. Semantics of Business Vocabulary and Business Rules is introduced by standard of Object Management Group (OMG) in 2008. Complex business rules are formally defined by Semantics of Business Vocab...

A relational database is a digital collection of data constructed on data stored in relations. RDF (Resource Description Framework) is a standard exemplification for data substitution on the Web RDF Schema is a semantic addition of RDF. It renders the technique for narrating groups of allied resources. The direct mapping of RDF interprets the descr...

In this paper, an intelligent approach is presented to measure customers’ loyalty to a specific product and assist new customers regarding a product’s key features. Our approach uses an aggregated sentiment score of a set of reviews in a dataset and then uses a fuzzy logic model to measure customer’s loyalty to a product. Our approach uses a novel...

The Internet of Things (IoT) is the next generation of internet-connected information communication technologies (ICT). IoT typically integrates supply chain activities to enhance green supply chain performance (GSCP). Since every organization has different IoT capabilities in comparison with other organizations, GSCP can enable supply chain integr...

Efficient and cost effective ways of irrigation have emerged as the need of the hour due to limited sweet water resources, especially the countries that are seriously hit by a lack of sweet water reservoirs. The majority of the water is wasted due to inefficient ways of watering plants. In this paper, we propose an intelligent approach for efficien...

Handling complexity in the data of information systems has emerged into a serious challenge in recent times. The typical relational databases have limited ability to manage the discrete and heterogenous nature of modern data. Additionally, the complexity of data in relational databases is so high that the efficient retrieval of information has beco...

The Internet of Things (IoT) is the next generation of internet-connected information communication technologies (ICT). IoT typically integrates supply chain activities to enhance green supply chain performance (GSCP). Since every organization has different IoT capabilities in comparison with other organizations, GSCP can enable supply chain integr...

Movie recommender expert systems are valuable tools to provide recommendation services to users. However, the existing movie recommenders are technically lacking in two areas: first, the available movie recommender systems give general recommendations; secondly, existing recommender systems use either quantitative (likes, ratings, etc.) or qualitat...

Typical fire monitoring and warning systems use a single smoke detector that is connected to a fire management system to give early warnings before the fire spreads out up to a damaging level. However, it is found that only smoke detector-based fire monitoring systems are not efficient and intelligent since they generate false warnings in case of a...

SURJ Science Series

The satellite imagery based weather predictions especially identification and classification of pressure zones that leads to formation of tropical cyclones was the objective of this paper. The presented approach was based on Principal Component Analysis (PCA) algorithm and Markov Logic Networks (MLN) for identification of pressure zones where PCA w...

This paper presents a novel approach to segment Magnetic Resonance Image (MRI) of Brain and identification of brain tumor from the brain MRI. The presented work is based on a novel approach that identifies brain tumor from brain MRI in two stages: initially a brain MRI is processed from generation of threshold T2 and PD image of a brain MRI using S...

This paper presents an approach used for automated generations of software constraints. In this model, the SBVR (Semantics of Business Vocabulary and Rules) based semi-formal representation is obtained from the syntactic and semantic analysis of a NL (Natural Language) (such as English) sentence. A SBVR representation is easy to translate to other...

CDSS (Clinical Decision Support System) is typically a diagnostic application and a modern technology that can be employed to provide standardized and quality medical facilities to the medical patients especially when expert doctors are not available at the medical centres. These days the use of the CDSSs is quite common in medical practice at remo...