- Mobile Learning in Education
- Online and Blended Learning
- Antenna Design and Analysis
- Software Testing and Debugging Techniques
- Wireless Body Area Networks
- Software Engineering Research
- RFID technology advancements
- Software Reliability and Analysis Research
- Image Retrieval and Classification Techniques
- Energy Harvesting in Wireless Networks
- Advanced Image and Video Retrieval Techniques
- Impact of Technology on Adolescents
- Open Education and E-Learning
- Tactile and Sensory Interactions
- Crop Yield and Soil Fertility
- IoT-based Smart Home Systems
- Vehicular Ad Hoc Networks (VANETs)
- Remote-Sensing Image Classification
- Linguistic, Cultural, and Literary Studies
- Visual and Cognitive Learning Processes
- Sleep and Work-Related Fatigue
- Emotion and Mood Recognition
- Teaching and Learning Programming
- IoT and GPS-based Vehicle Safety Systems
- Advanced Antenna and Metasurface Technologies
Panjab University
2014-2023
Chandigarh University
2022
University of the Punjab
2022
Centre for Environment Concerns
2016
Image fusion is a technique of combining source images i.e. multi-modal, multi-focus etc. to obtain new more informative image. Multi-focus image algorithm combines different having parts in focus. Applications includes remote sensing, digital camera This paper describes various algorithms which uses focus measure such as spatial frequency, energy laplacian, morphological opening and closing The performance these analyzed based on how focused regions are determined get fused method used for...
The paper proposes a wearable multiband antenna applicable for ISM (Industrial, Scientific and Medical) band, bluetooth, WiMAX, upper WLAN, fifth-generation (5G) smartphone applications, INSAT radio altimeter, X-band, point-to-point hi-speed wireless, satellite TV, C-band applications. This is designed to function at resonance frequencies of 2.45 GHz, 4.6 6.6 GHz 8.2 GHz. proposed textile design dimensions are 50x80x0.56mm3.The presented 47% impedance bandwidth covering the band. simulated...
Software quality is an important issue in the development of software systems.The extent to which possesses a desired set attributes such as testability, performance, maintainability, and manageability indicates success design overall system.These are adversely affected by antipatterns.These smells, symptoms code introduced during that constrains evolution system making it difficult for engineers bring changes.Researchers practitioners put great effort detect these anti-patterns reduce...
Anti-patterns are considered as deficient programming practices that unacceptable a solution. They can be thought of certain patterns in software development undesirable comparison to design which acceptable solutions formalized for common problem. From the study on anti-pattern classes involved object-oriented systems, we examined impact presence anti-patterns system. There issues with testing strategies used finding bugs systems such objectives testing, procedure test new functions,...
Objective: To describe prevalence dental caries and to study the association between nutritional status oral health based on various indices among adolescents from under privileged communities. Material Methods: The was a cross-sectional sample of 196 apparently healthy children (104 males 92 females) in age range 14 18 years belonging under-privileged Each subject measured for height, body weight assess clinically observed traits like caries, plaque, calculus gingivitis. Results: Decayed,...
Antipatterns are poor design choices that conjectured to make object oriented systems harder maintain. We investigate the impact of antipatterns on classes in object-oriented by studying relation between presence and change- fault-proneness classes. Due increased complexities software development, there is huge need testing process be carried better way. Also as computer significant our society everyday life performing an increasing number critical tasks, so more work analysis has become...
With the widespread use of convolutional neural networks (CNNs) for image analysis and retrieval, it has become increasingly important to efficiently index search large feature space generated by these networks. This study provides a comprehensive review various indexing techniques used extracting CNN features. CNNs are commonly in deep learning classification, object detection, retrieval. The main challenge CNN-based retrieval is high-dimensional nature Indexing can be store retrieve In...
Convolutional neural networks (CNN) have demonstrated their effectiveness in extracting discriminative features from images, allowing for accurate image recognition and classification. Traditional search approaches, on the other hand, become computationally expensive impractical as databases expand. This research presents a system indexing CNN characteristics order to enhance efficiency of large-scale search. The necessity develop frameworks capable effectively relevant photos enormous...
Two field experiments were conducted at the research farm of Punjab Agricultural University, Ludhiana. The soil experimental was low in organic carbon content and slightly alkaline nature. One experiment two dates (Timely late sown) main plot four barley varieties (DWRUB 52, DWRB 101, BH 902 RD 2849) sub-plot during 2014-15 2015-16. Another on row spacing (20.0, 22.5 25.0 cm) as three (BH 902, 946 2552) 2015-16 2016-17. Timely sown (15th-19th November) recorded higher grain yield than...