A5101398697- Optimization and Mathematical Programming
- Multi-Criteria Decision Making
- Fibroblast Growth Factor Research
- Kruppel-like factors research
- Estrogen and related hormone effects
- Click Chemistry and Applications
- Supply Chain and Inventory Management
- Cancer, Hypoxia, and Metabolism
- Fuzzy Systems and Optimization
- Water resources management and optimization
- Epigenetics and DNA Methylation
- Advanced Breast Cancer Therapies
- Cancer-related Molecular Pathways
- Optimization and Variational Analysis
- Sustainable Supply Chain Management
- Cancer Genomics and Diagnostics
- HER2/EGFR in Cancer Research
- Cooperative Communication and Network Coding
- Metaheuristic Optimization Algorithms Research
- Coding theory and cryptography
- Advanced Queuing Theory Analysis
- Scheduling and Optimization Algorithms
- Risk and Portfolio Optimization
- Management and Optimization Techniques
- Customer churn and segmentation
Barkatullah University
2020-2025
Alliance University
2024
Rajiv Gandhi Technical University
2023
National Institute of Animal Nutrition and Physiology
2023
Computer Algorithms for Medicine
2023
Tata Memorial Hospital
2023
Creative Commons
2023
Institute of Medical Sciences
2020-2023
SRM Institute of Science and Technology
2023
National Institute of Technology Warangal
2013-2022
Recently, the Ethereum smart contracts have seen a surge in interest from scientific community and new commercial uses. However, as online trade expands, other fraudulent practices—including phishing, bribery, money laundering—emerge significant challenges to security. This study is useful for reliably detecting transactions; this work developed deep learning model using unique metaheuristic optimization strategy. The method overcome challenges, Optimized Genetic Algorithm-Cuckoo Search...
Depression is a common illness worldwide with doubtless severe implications. Due to the absence of early identification and treatment for depression, millions individuals suffer from mental illnesses. It might be difficult identify those who are experiencing health illnesses provide them help that they need. Additionally, depression may associated thoughts suicide. Currently, there no clinically specific diagnostic biomarkers can severity type depression. In this research paper, novel...
Power quality issues are handled very well by filter technologies. In recent years, the advancement of hybrid active power filters (HAPF) has been enhanced due to ease control and flexibility as compared other These a beneficial asset for producer that requires smooth filtered output power. However, design these is daunting task perform. Often, metaheuristic algorithms employed dealing with this nonlinear optimization problem. work, new algorithm (Marine Predator Algorithm Sine Cosine...
The crime rate in India is considerably increasing day by day. Consequently, the data associated with also increasing, opening doors for data-driven approaches to these extract insightful knowledge, which can help police and other law enforcement organizations of country control prevention. Crime prediction using machine learning algorithms on predict region-wise counts. In this paper, a learning-based soft computing regression analysis approach Indian Data Analysis (ICDA) proposed....
Ethereum smart contracts have recently received new commercial applications and a lot of attention from the scientific community. eliminates requirement for trusted third party by allowing untrusted parties to expose contract details in computer code. Nonetheless, as online commerce grows, plenty fraudulent activities, such money laundering, bribery, phishing, emerge major threats trade security. For correctly recognizing transactions, this paper developed Light Gradient Boosting Machine...
This paper presents sustainable inventory model with constant deterioration rate when holding cost is time dependent. Demand price and stock Preservation technology carbon emission are considered for more approach. Shortages allowed fully backlogged. In addition, a mathematical constructed to maximize the total profit function concavity shown using three-dimensional graph. A numerical experimentation carried compute order quantity. To validate proposed model, sensitivity analysis conducted...
In this paper, we propose a partial backlogging inventory model for deteriorating items with time-varying demand and holding cost. Deterioration rate is assumed to be constant. The varies time until the shortage occurs; during shortages, becomes Shortages are allowed partially backlogged. variable inversely proportional length of waiting next replenishment. Taylor series used exponential terms approximating up second degree terms. We solve proposed obtain optimal value order quantity total...
Interleukin-2 (IL-2)-dependent large granular lymphocytes (LGL) with a distinctive surface phenotype were generated from histologically normal duodenal biopsy tissues. Immunoperoxidase staining of the mucosa an anti-CD56 monoclonal antibody revealed LGL localized in lamina propria rather than epithelium. Light and electron microscopy demonstrated azurophilic electron-dense cytoplasmic granules. Flow cytometry analysis that these cells express CD45, CD56, CD2, CD7, CD11a, CD18, CD69...
In this paper, we propose a model and solution approach for multi-item inventory problem without shortages. The proposed is formulated as fractional multi-objective optimisation along with three constraints: budget constraint, space constraint budgetary on ordering cost of each item. becomes multiple criteria decision-making (MCDM) in fuzzy environment. This solved by goal programming (MOFGP) approach. A numerical example given to illustrate the model.
Neutrosophic set is considered as a generalized of crisp set, fuzzy and intuitionistic for representing the uncertainty, inconsistency, incomplete knowledge about real world problems. In this paper, neutrosophic linear programming (NLP) problem with single-valued trapezoidal numbers formulated solved. A new method based on so-called score function to find optimal solution fully (FNLP) proposed. This more flexible than (LP) problem, where it allows decision maker choose preference he willing...
In this manuscript, a model is proposed for the inventory planning problem with items which deteriorate linearly respect to time.The concept of salvage value deteriorated considered and incorporated in model.The solution procedure optimization illustrated by couple numerical examples.A convexity check average total cost function performed plotting two dimensional graph.The sensitivity test study effect changing least as well most sensitive parameters model.Some graphical representations are...
This paper proposes a differential equation inventory model that incorporates partial backlogging and deterioration.Holding cost demand rate are time dependent.Shortages allowed assumed to be partially backlogged.Two versions presented, the first one with deterministic values of parameters second taking into account interval uncertainty parameters.In crisp case, Taylor's series expansion is used, graphically shown function convex.While, in case intervals, arithmetic used then problem...
This paper introduces cooperative continuous static games (CCSG) with parameters in the cost functions of players and right-hand side constraints. The CCSG is converted into corresponding multi-objective nonlinear programming problem. resulted problem single objective through use weighted sum method. A solution method for obtaining stability set second kind without differentiability presented using Karush-Kuhn-Tucker conditions. numerical example given illustration.
Abstract This article attempts to study cost minimizing multi-objective fractional solid transportation problem with fuzzy coefficients <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msubsup> <m:mrow> <m:mover accent="true"> <m:mi>c</m:mi> <m:mo>˜</m:mo> </m:mover> </m:mrow> <m:mi>i</m:mi> <m:mi>j</m:mi> <m:mi>k</m:mi> <m:mi>r</m:mi> </m:msubsup> </m:math> {\tilde{c}}_{ijk}^{r} , supply quantities <m:msub> <m:mi>a</m:mi> </m:msub> {\tilde{a}}_{i} demands <m:mi>b</m:mi>...
Abstract In the current study, a neutrosophic quadratic fractional programming (NQFP) problem is investigated using new method. The NQFP converted into corresponding (QFP) problem. QFP formulated by score function and hence it to linear (LPP) Taylor series, which can be solved LPP techniques or software (e.g., Lingo). Finally, an example given for illustration.
Abstract Background: Cyclin-dependent kinase 9 (CDK9) is a transcriptional regulator that mediates expression and downstream activity of oncogenic transcription factors (TFs) including MYC chimeric TFs. Inhibiting CDK9 presents promising approach to treat transcriptionally addicted cancers. KB-0742 potent, selective, orally bioavailable inhibitor currently being studied in phase 1/2 dose escalation solid tumors NHL cohort expansion for patients with transcription-dependent (NCT04718675)....
In this paper, we propose a multi-criteria decision making approach for the solution of multi-product inventory model without shortages. The is considered over infinite horizon with price-dependant demand rate. proposed formulated as fractional multi-objective optimisation problem along four constraints: budget constraint, space number order and budgetary constraint on ordering cost each item. becomes multiple criteria (MCDM) in fuzzy environment. This solved by goal programming (MOFGP)...
This research work aims to study a capacitated transportation problem (CTP) with penalty cost, supplies, and demands represented by hexagonal fuzzy numbers. Based on ranking function, the supplies are converted crisp form. Through use of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mi>α</mml:mi><mml:mo>‐</mml:mo></mml:math>level, is into interval linear programming. To optimize objective we define order relations policy maker’s choice between intervals. The...