- Software Engineering Research
- Surfactants and Colloidal Systems
- Software Engineering Techniques and Practices
- Ionic liquids properties and applications
- Hydrogels: synthesis, properties, applications
- Chemical and Physical Properties in Aqueous Solutions
- Software Reliability and Analysis Research
- Multicomponent Synthesis of Heterocycles
- biodegradable polymer synthesis and properties
- Polysaccharides Composition and Applications
- Chemical Synthesis and Characterization
- Synthesis and Biological Evaluation
- Covalent Organic Framework Applications
- Catalysis for Biomass Conversion
- Software System Performance and Reliability
- Supramolecular Self-Assembly in Materials
- Matrix Theory and Algorithms
- Pharmacological Effects of Natural Compounds
- Extraction and Separation Processes
- Synthesis and Characterization of Pyrroles
- Neurological Disease Mechanisms and Treatments
- Analytical Chemistry and Sensors
- ERP Systems Implementation and Impact
- Open Source Software Innovations
- Nanoparticle-Based Drug Delivery
Lovely Professional University
2024-2025
Dr. B. R. Ambedkar National Institute of Technology Jalandhar
2016-2024
Abstract Context Since last more than one‐decade software process improvement, widely known as SPI has received the attention of engineering community. Objective The objective paper is to empirically examine and develop a framework model structural dependences among inhibitors that impact initiatives in SMEs. Methods Authors used mixed method approach (empirical analysis interpretive modeling, ISM) evaluate, model, analyze association between Results results from empirical ISM show lack...
Abstract Context For successful initiation of software process improvement (SPI) initiatives in SMEs, it is vital for the practitioners to have deep understanding various SPI inhibitors. Objective The paper has following objectives: investigate factors which impact implementation synthesize available evidence, identify gaps between existing approaches literature, and develop taxonomy factors. Methods Database search snowballing procedure are adapted perform systematic mapping review,...
Abstract The present work aimed to study the mixed micellar behaviour of a tri-substituted imidazolium based surface-active ionic liquid (SAIL), 1-tetradecyl-2,3-dimethylimidazolium bromide [C 14 bmim][Br], with drug Nortriptyline hydrochloride (NOT) in water/salt (Na 2 SO 4 ) medium using surface tension measurements (298.15 K) alongwith conductivity (298.15K–313.15K). Lower experimentally obtained cmc values compared their ideal suggest that investigated amphiphiles interact strongly. mole...
Abstract This study investigated the influence of vitamin B7 (biotin) at different concentrations (0.1, 0.3 and 0.5) mM on micellisation behaviour three ionic liquids with cationic headgroups, namely N -methylmorpholinium bromide [Mor 1,12 ][Br], -dodecyl- -methylpyrrolidinium [Pyrr 1-dodecyl-3-methylimidazolium [C 12 mim][Br], four temperatures (298.15, 303.15, 308.15, 313.15) K using electrical conductivity surface tension measurements. The evaluated CMC values for studied system were used...
ABSTRACT Nowadays, environmentally sustainable organic synthesis is demanding. In this context, nanoparticles are particularly interesting owing to their green aspects. Specifically, magnetic have been continuously utilized in for a decade. Among heterocycles, pyrrole and its analogs unique place due vast spectrum of applications. Derivatives help find lead structures new synthetic pharmaceutical compounds other valuable compounds. Thus, accelerate chemists develop derivatives through...
In recent studies, fault prediction is used to envisage the software's quality via conventional machine learning techniques. There are numerous problems that distress efficiency of software like redundant data, irrelevance features and missing data. It observed from literature performance methods varies data-set data-set. this paper, authors examines model get affected after applying several data processing techniques on different classifiers. Various measures accuracy, RMSE ROC (AUC)...