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A Novel Multi-Objective Nonlinear Discrete Binary Gaining-Sharing Knowledge-Based Optimization Algorithm
GSK algorithm is based on the concept of how humans acquire and share knowledge through their lifespan. Discrete Binary version of GSK named novel binary Gaining Sharing knowledge-based optimization algorithm (DBGSK) depends on...
Resistance and refusal to algorithmic harms
Industrial, academic, activist, and policy research and advocacy movements formed around resisting ‘machine bias’, promoting ‘ethical AI’, and ‘fair ML’ have discursive implications for what constitutes harm, and what...
Testing the quasicentroid molecular dynamics method on gas-phase ammonia.
Quasicentroid molecular dynamics (QCMD) is a path-integral method for approximating nuclear quantum effects in dynamics simulations, which has given promising results for gas- and condensed-phase water. In this work, by...
Does altruism matter for remittances?
We provide a direct test of the impact of altruism on remittances. From a sample of Indian migrant workers in Qatar, we elicit the propensity to share with others from their responses in a dictator game and use it as a proxy for...
The burden of sialorrhoea in chronic neurological conditions
Sialorrhoea is a frequent symptom of neurological diseases (e.g. Parkinson's disease, motor neuron disease, cerebral palsy, and stroke) and is defined as excessive saliva accumulation leading to unintentional loss of saliva from...
Autonomous Navigation Using Deep Reinforcement Learning in ROS
For an autonomous robot to move safely in an environment where people are around and moving dynamically without knowing their goal position, it is required to set navigation rules and human behaviors. This problem is challenging...
Asymmetric information about migration earnings and remittance flows
We examine asymmetric information about migrant earnings and its implications for remittance behavior using a sample of Indian households with husbands working overseas in Qatar. On average, wives underreport their husbands’...
Neuroregeneration and plasticity
Abstract: Neuronal networks, especially those in the central nervous system (CNS), evolved to support extensive functional capabilities while ensuring stability. Several physiological “brakes” that maintain the stability of the...
Asymmetric information about migration earnings and remittance flows
We examine asymmetric information about migrant earnings and its implications for remittance behavior using a sample of Indian households with husbands working overseas in Qatar. On average, wives underreport their husbands’...
Does altruism matter for remittances?
We provide a direct test of the impact of altruism on remittances. From a sample of Indian migrant workers in Qatar, we elicit the propensity to share with others from their responses in a dictator game and use it as a proxy for...
Comparative dataset of experimental and computational attributes of UV/vis absorption spectra.
The ability to auto-generate databases of optical properties holds great prospects in data-driven materials discovery for optoelectronic applications. We present a cognate set of experimental and computational data that...
Neuroregeneration and plasticity
Neuronal networks, especially those in the central nervous system (CNS), evolved to support extensive functional capabilities while ensuring stability. Several physiological "brakes" that maintain the stability of the neuronal...
Comparative dataset of experimental and computational attributes of UV/vis absorption spectra.
The ability to auto-generate databases of optical properties holds great prospects in data-driven materials discovery for optoelectronic applications. We present a cognate set of experimental and computational data that...
Assessing Marketing Capabilities and Re-Patronage Intentions Relationship Through the Lens of Technological Advancement
This study examines the relationship between marketing capabilities and re-patronage intentions in the retail sector. Building upon dynamic capability theory, expectation-confirmation theory, and social exchange theory, it also...
Digitization, Marketing 4.0, and Repurchase Intention in E-Tail
The Marketing 4.0 phenomenon has drawn positive attention recently due to digitization and the need for upgraded frameworks. It was recently proposed with four components: brand identity, brand image, brand integrity, and brand...
Performance Analysis of Machine Learning Algorithms for Big Data Classification
In broad, three machine learning classification algorithms are used to discover correlations, hidden patterns, and other useful information from different data sets known as big data. Today, Twitter, Facebook, Instagram, and...
Identification of Tomato Leaf Diseases Using Deep Convolutional Neural Networks
Crop disease is a major issue now days; as it drastically reduces food production rate. Tomato is cultivated in major part of the world. The most common diseases that affect tomato crops are bacterial spot, early blight...

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