Anuj Kumar

ORCID: 0000-0003-2740-2379
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Agricultural Economics and Practices
  • Reliability and Maintenance Optimization
  • Rice Cultivation and Yield Improvement
  • Crop Yield and Soil Fertility
  • Agricultural risk and resilience
  • Advanced Multi-Objective Optimization Algorithms
  • Multi-Criteria Decision Making
  • Agricultural Science and Fertilization
  • Software Reliability and Analysis Research
  • Metaheuristic Optimization Algorithms Research
  • Genetics and Plant Breeding
  • Probabilistic and Robust Engineering Design
  • Phytochemicals and Medicinal Plants
  • Livestock Management and Performance Improvement
  • Wheat and Barley Genetics and Pathology
  • Agricultural Systems and Practices
  • Climate change impacts on agriculture
  • Plant Pathogens and Fungal Diseases
  • Plant Physiology and Cultivation Studies
  • Risk and Safety Analysis
  • Plant Micronutrient Interactions and Effects
  • COVID-19 Pandemic Impacts
  • Statistical Distribution Estimation and Applications
  • Evolutionary Algorithms and Applications
  • Irrigation Practices and Water Management

Central Institute of Medicinal and Aromatic Plants
2011-2025

D Y Patil International University
2023-2025

Argonne National Laboratory
2025

North Carolina State University
2025

Marwadi University
2024

Indian Institute of Wheat and Barley Research
2014-2024

University of Petroleum and Energy Studies
2015-2024

Graphic Era University
2018-2024

Symbiosis International University
2024

Bennett University
2024

We study a conversational reasoning model that strategically traverses through large-scale common fact knowledge graph (KG) to introduce engaging and contextually diverse entities attributes. For this study, we collect new Open-ended Dialog <-> KG parallel corpus called OpenDialKG, where each utterance from 15K human-to-human role-playing dialogs is manually annotated with ground-truth reference corresponding paths 1M+ facts. then propose the DialKG Walker learns symbolic transitions of...

10.18653/v1/p19-1081 article EN cc-by 2019-01-01

For the past two decades, nature‐inspired optimization algorithms have gained enormous popularity among researchers. On other hand, complex system reliability problems, which are nonlinear programming problems in nature, proved to be non‐deterministic polynomial‐time hard (NP‐hard) from a computational point of view. In this work, few solved by using very recent metaheuristic called gray wolf optimizer (GWO) algorithm. GWO mimics chasing, hunting, and hierarchal behavior wolves. The results...

10.1002/qre.2107 article EN Quality and Reliability Engineering International 2016-11-07

Reliability allocation to increase the total reliability has become a successful way efficiency of complex industrial system designs. A lot research in past have tackled this problem great extent. This is evident from different techniques developed so far achieve target. Stochastic metaheuristics like simulated annealing, Tabu search (TS), Particle Swarm Optimization (PSO), Cuckoo Search (CS), Genetic Algorithm (GA), Grey wolf optimization technique (GWO) etc. been used recent years. paper...

10.31181/dmame210402241n article EN cc-by Decision Making Applications in Management and Engineering 2021-08-18

The integration of multiple technical, economic, environmental, and social criteria establishes Multi-Criteria Decision Analysis (MCDA) as a dependable decision-making tool in the context interdisciplinary research. This study employs literature-based methodology to illustrate how MCDA, particularly utilizing Analytical Hierarchy Process (AHP) TOPSIS models, has been utilized tackle intricate issues. It also highlights noteworthy discoveries derived from real-world applications, drawing upon...

10.33889/ijmems.2024.9.3.030 article EN International Journal of Mathematical Engineering and Management Sciences 2024-04-21

Nowadays, utility of the multi-criteria decision making (MCDM) technique in tackling real-world complex problems has risen tremendously. Even United Nations is focusing on decision-making order to accomplish Agenda 2030, as stated its paragraph 48. The desire promote sustainable development (SD) necessitates models, which could be achieved through use an efficient MCDM approach. Analytical Hierarchy Process (AHP) one most techniques that incorporated this study. purpose work provide a...

10.33889/ijmems.2022.7.6.056 article EN cc-by International Journal of Mathematical Engineering and Management Sciences 2022-11-20

10.1007/s13198-017-0623-7 article EN International Journal of Systems Assurance Engineering and Management 2017-04-26

The last few decades have witnessed advancements in intelligent metaheuristic approaches and system reliability optimization. huge progress can be viewed as the main motivator behind further refinement optimization process. Researchers intensively studied problems (SROPs) to obtain optimal design with several constraints order optimize overall reliability. This article proposes a modified wild horse optimizer (MWHO) for SROPs investigates allocation of two complex SROPs, namely, bridge (CBS)...

10.3390/axioms12070693 article EN cc-by Axioms 2023-07-16

Mathematical analysis of the analytic hierarchy process (AHP) led to development a mathematical function, usually called inconsistency index, which has center role in measuring judgements AHP. Inconsistency index is function maps every pairwise comparison matrix (PCM) into real number. An can be considered more trustworthy when it satisfies set suitable properties. Therefore, research community been trying postulate desirable rules (axioms, properties) for indices. Subsequently, various...

10.33889/ijmems.2025.10.1.015 article EN International Journal of Mathematical Engineering and Management Sciences 2025-01-01

Synthesis of novel isatin 1,2,3-triazoles as potent anti-inflammatory agent with enhanced efficacy and gene expression modulation.

10.1039/d4ra07294d article EN cc-by-nc RSC Advances 2025-01-01

Abstract To ensure the safety of nuclear power plants (NPPs), regulatory agencies set technical specifications (TSs). TSs define safety‐related operational measures and specify essential requirements specific limitations that is necessarily be followed by a industry to meet for an NPP. One important bases setting estimates availability reliability various systems costs associated with In this work, authors have presented framework based upon hodiernal nature‐inspired metaheuristic called...

10.1002/qre.2499 article EN Quality and Reliability Engineering International 2019-05-30
Coming Soon ...