- Robotics and Sensor-Based Localization
- Indoor and Outdoor Localization Technologies
- Digital Marketing and Social Media
- Robotic Path Planning Algorithms
- Environmental Sustainability in Business
- Target Tracking and Data Fusion in Sensor Networks
- Infrastructure Maintenance and Monitoring
- Human Resource Development and Performance Evaluation
- Vehicular Ad Hoc Networks (VANETs)
- Real-Time Systems Scheduling
- AI in cancer detection
- Advanced Data Compression Techniques
- Wireless Body Area Networks
- Quantum Computing Algorithms and Architecture
- Autonomous Vehicle Technology and Safety
- Dam Engineering and Safety
- Radiomics and Machine Learning in Medical Imaging
- Microwave Imaging and Scattering Analysis
- Concrete Corrosion and Durability
- Distributed systems and fault tolerance
- Sharing Economy and Platforms
- Energy and Environment Impacts
- Asphalt Pavement Performance Evaluation
- Control and Dynamics of Mobile Robots
- Environmental Education and Sustainability
Southwest University of Science and Technology
2020-2024
COMSATS University Islamabad
2022
University of Balochistan
2020-2021
Tun Hussein Onn University of Malaysia
2018
A single technological advancement in the business sector tremendously changed customers’ lifestyles and consumption behavior. Drone technology is one of main revolutions that increase efficiency at a lower cost. However, acceptance emerging technologies not rapid developing markets. Therefore, this study aims to evaluate adoption drone context food delivery services. This has used an extended model (TAM) assess Product processing innovativeness, information subjective norms have been added...
Purpose This study aims to understand households’ adoption of small-scale solar energy reduce carbon dioxide emissions that cause due conventional consumptions. Design/methodology/approach is quantitative in nature and households were selected as unit analysis. Online data has been collected from seven main cities Pakistan intention use for domestic consumption. A total 370 valid analyzed through partial least square structural equation modeling. Findings The findings reveal publicity...
Ultra-wideband (UWB) and inertial measurement unit (IMU) fusion is an efficient method to resolve the uncertainties of UWB in non-line-of-sight (NLOS) situations because signals refraction, effect multipath positioning error accumulation indoor environments. Existing systems, however, are focused only on foot-mounted IMUs that restrict system's implementation particular real situations. In this research, using IMU, we suggest combining ranging IMU pedestrian dead reckoning (PDR), which can...
Environment mapping is an essential prerequisite for mobile robots to perform different tasks such as navigation and mission planning. With the availability of low-cost 2-D LiDARs, there are increasing applications LiDARs in industrial environments. However, environment unknown featureless with remains a challenge. The challenge mainly originates from short range complexities performing scan matching these In order resolve shortcomings, we propose fuse ultrawideband (UWB) improve quality...
Vehicular ad hoc networks (VANETs) are self-organizing, open-structure inter-vehicle communication networks, along with wireless technology and transportation. Vehicle aims to improve the driver’s response-ability ensure traffic safety when encountering accidents. The 5G NR on V2V communication, compared fourth-generation (4G) long-term evolution (LTE), is more sophisticated has ultra-high reliability. This research proposes intelligent driver model-lane changes (IDM-LC) model-avoidance...
Timely detection of defects is essential for ensuring safe and stable operation concrete buildings. Automatic segmentation buildings’ surfaces challenging due to the high diversity crack appearance, detailed information, unbalanced proportion pixels background pixels. In this work, Double Feature Pyramid Network designed high-precision segmentation. Our work reached state-of-the-art level in segmentation, with key contributions outlined as follows: firstly, considering shapes, network...
A rapidly spreading epidemic, COVID-19 had a serious effect on millions and took many lives. Therefore, for individuals with COVID-19, early discovery is essential halting the infection's progress. To quickly accurately diagnose imaging modalities, including computed tomography (CT) scans chest X-ray radiographs, are frequently employed. The potential of artificial intelligence (AI) approaches further explored creation automated precise detection systems. Scientists widely use deep learning...
Object identification and localization in indoor outdoor environments are paramount issues object–human interaction. Recent advancements the data fusion capabilities of multi-sensor systems have paved way for research on emerging object positioning techniques. This review describes techniques methods used technologies. State-of-the-art technologies classified into range-based, range-free AI-based categories. An in-depth analysis approaches based laser range finder, radio-frequency...
Stakeholder tourism development has revolved around the sustainable branding concept and brand engagement challenges. Addressing concerns on sustainability, this study aims to investigate stakeholder destination image (socioenvironment, infrastructure, natural cultural resources, pleasant atmosphere) impact (brand meaning, presented brand, awareness, equity) with mediating role of (behavioral, affective cognitive). We draw self-congruity theory develop hypotheses collect data from different...
In an indoor environment, object identification and localization are paramount for human-object interaction. Visual or laser-based sensors can achieve the of based on its appearance, but these approaches computationally expensive not robust against environment with obstacles. Radio Frequency Identification (RFID) has a unique tag ID to identify object, it cannot accurately locate it. Therefore, in this paper, data RFID laser range finder fused better multiple dynamic objects environment. The...
Vehicle to (V2V) communication plays a significant role in the Intelligent Transportation System (ITS) Vehicular Ad hoc Networks (VANET) for which usage of IOT vehicles is increasing rapidly. Vehicles communicate with each other through wireless networks. However, deployment new generation mobile networks 5G needs major upgradation its existing systems such as 4G, LTE and infrastructure. Therefore, it proposed introduce advanced technology communication. Massive MIMO have important DSRC...
Sustainable supply chain management (SSCM) in sharing economy platforms supports resource and achieves environmental sustainability. Corporate social responsibility (CSR) is an essential pillar of sustainability, but the link between CSR SSCM has been missing literature. Therefore, current study intends to examine connection practices economy-based platforms. This applied means-end theory understand customer intention economy. The data 379 respondents from five main cities Pakistan have...
Today, many organizations of different sizes are facing challenges related to the productivity labour and staff. Training is an important factor that contributes positively employee's productivity. This study attempt discuss theories training examines influence on employees in General Directorate Residency Foreigners Affairs U.A.E. It assumed this U.A.E have weak interest use new want continue traditional methods which may not lead desired results. Therefore, lack effective one main reasons...
This work is proposed to improve the security and privacy issues in real-time database system, such as military departments, public organizations other private organizations. These institutions are associated with system environments that shows controlled retrieving of data information their operation. In fact, huge volumes supervised by today's system. For purpose a concurrency control algorithm (OPT) used, simulation written C+ + for databases timing constraints also used this research....
Training and Development is a very important factor in most organizations today business world. While job performance an essential that influences the productivity of employees affected by training as well. This study conducted U.AE General Directorate Residency Foreigners Affairs. The aim this to investigate mediating role on association between employee’s productivity. It assumed poor inability develop skills knowledge staff mainly because inadequate accordance with modern methods...
This research analyzes the design and simulation of a mobile robot using Extended Kalman Filter (EKF) Unscented filter (UKF). The platform has differential configuration, where each track wheel is associated with an encoder. EKF UKF methods are used to integrate measurements novel odometric system based on optical mice localization map geometric beacons. Two different types simulations have been performed for validating results, either mouse-based or conventional encoder-based system,...
Environment mapping is an essential prerequisite for mobile robots to perform different tasks such as navigation and mission planning. With the availability of low-cost 2D LiDARs, there are increasing applications LiDARs in industrial environments. However, environment unknown feature-less with remains a challenge. The challenge mainly originates from short-range complexities performing scan matching these In order resolve shortcomings, we propose fuse ultra-wideband (UWB) improve quality...