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Impact of Price-Sensitive Demand and Premium Payment Scheme on Bullwhip Effect
Bullwhip effect reduces the efficiency, responsiveness, and value of the supply chain. There are some indirect causes like lead time, the number of echelons, and some direct causes of bullwhip effect such as rationing or price...
Microclustering-Based Multi-Class Classification on Imbalanced Multi-Relational Datasets
In a relational database, classification algorithms are used to look for patterns across several interconnected relations. Most of the methods for multi-relational classification algorithms implicitly assume that the classes in...
Integrating Keyword Segmentation and Budget Allocation Decisions in Sponsored Search Advertising
Budget constrained sponsored search advertisers must decide how to allocate their advertisement budget across ad campaigns and individual keywords. In this paper, a simulation model that integrates the complex issues involved in...
Humor Detection
Manan Jain
Jan 01, 0001
Humor is a very complex characteristic concept that defines us as human beings and social entities. Humor is an essential component in personal communication. How to create a method or model to discover the structures behind...
Adaptive-Sunflower-Based Grey Wolf Algorithm for Multipath Routing in IoT Networks
This paper devises a routing method for providing multipath routing in an IoT network. Here the fractional artificial bee colony(FABC) algorithm is devised for initiating the clustering process. Moreover, the multipath routing...
Innovation and entrepreneurship in India
J Prabhu, S Jain
Jan 15, 2016
In this paper, we use the term jugaad to describe the frugal, flexible, and inclusive approach to innovation and entrepreneurship emerging from India. We articulate why this method is appropriate within the Indian context and...
ET-traps offer a potential therapeutic tool for use in different autoimmune diseases.
Research shows that endothelin (ET)-traps are a potential therapy for diabetes. Given that type 1 diabetes mellitus (T1DM) is an autoimmune disorder, ET-traps could also have an efficacious, therapeutic effect on other...
Knowledge-Infused Text Classification for the Biomedical Domain
Extracting knowledge from unstructured text and then classifying it is gaining importance after the data explosion on the web. The traditional text classification approaches are becoming ubiquitous, but the hybrid of semantic...
3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning
Generative models have been successfully used to synthesize completely novel images, text, music and speech. As such, they present an exciting opportunity for the design of new materials for functional applications. So far...
A Deadline-Constrained Time-Cost-Effective Salp Swarm Algorithm for Resource Optimization in Cloud Computing
Nowadays, Cloud Computing has become the most attractive platform, which provides anything as a Service (XaaS). Many applications may be developed and run on the cloud without worrying about platforms. It is a big challenge to...
Multinational Enterprises and the Governance of Sustainability Practices in Emerging Market Supply Chains
Advanced economy multinational enterprises (AMNEs) face idiosyncratic challenges related to the governance of their sustainability practices in their emerging market supply chains. One way for AMNEs to address these challenges...
Accuracy Enhancement for Breast Cancer Detection Using Classification and Feature Selection
Chronic disease like kidney failure, heart disease, cancer etc. is the major cause of deaths now days worldwide. Especially for the females the most dangerous type of disease from which the women of every age group are suffering...
Impact of Green Banking Practices on Sustainable Environmental Performance and Profitability of Private Sector Banks
Sustainable environmental performance linked with profitability has been one of the brimming concerns in the worldwide scenario. Therefore, the current study aimed to examine the impact of green banking practices on the firm's...
Sup_Ont
A domain-independent conceptual model that aims to be highly reusable across specific domain applications is provided by upper-level ontologies which usually describe abstract concepts. In this paper, the authors proposed...
Influence of bidding mechanism and spot market characteristics on market power of a large genco using hybrid DE/BBO
P. Jain, R. Bhakar, S. Singh
Sep 01, 2015

Generation company (Genco) bidding in an electricity market (EM) aims to maximize its profit under uncertain market characteristics and a regulated bidding mechanism. This paper addresses the strategic bidding for a large...

Multinational Enterprises and the Governance of Sustainability Practices in Emerging Market Supply Chains
Advanced economy multinational enterprises (AMNEs) face idiosyncratic challenges related to the governance of their sustainability practices in their emerging market supply chains. One way for AMNEs to address these challenges...
Models for Efficient Utilization of Resources for Upgrading Android Mobile Technology
The need of the customers to be connected to the network at all times has led to the evolution of mobile technology. Operating systems play a vitol role when we talk of technology. Nowadays, Android is one of the popularly used...
A Novel Hybrid Approach for Chronic Disease Classification
A two-phase diagnostic framework based on hybrid classification for the diagnosis of chronic disease is proposed. In the first phase, feature selection via ReliefF method and feature extraction via PCA method are incorporated....
Analyzing Linguistic Features for Answer Re-Ranking of Why-Questions
Why-type non-factoid questions are ambiguous and involve variations in their answers. A challenge in returning one appropriate answer to user requires the process of appropriate answer extraction, re-ranking and validation....
Software Effort Estimation Development From Neural Networks to Deep Learning Approaches
Software Engineering is a branch of computers that includes the development of structured software applications. Estimation is a significant measure of software engineering projects, and the skill to yield correct effort...
Language-Agnostic Knowledge Representation for a Truly Multilingual Semantic Web
As the Internet users’ communities and the information on the web are increasing exponentially, that too associated with a wide range of different cultures and languages; meaningful search in a multilingual setting is required....
Preparing for pandemics
BACKGROUND: The COVID-19 pandemic has highlighted the importance of evidence-based clinical decision-making. Clinical management guidelines (CMGs) may help reduce morbidity and mortality by improving the quality of clinical...

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