Deep neural networks perform better in most specific single tasks than humans, but it is hard to handle a sequence of new tasks from different domains.The deep learning-based models always need to remember the parameters of the learned tasks to perform well in the new tasks and forfeit the ability to generalize from previous data, which is inconsis
Criminological Study of Personality-Based Crimes in Cyberspace; from Typology to Policy Strategies
Harassment-based crimes targeting the spiritual integrity of victims are among the most numerous and varied offenses in cyberspace, ,which can be categorized under the general title of harassment in cyberspace.According to the unique properties and meta-variables of information and communication technology, the rate of harassment crime in cyberspac
Morphological and Molecular Study of the Fish Parasitic Crustaceans Cymothoa indica and Mothocya collettei (Isopoda: Cymothoidae), with New Distribution Records
Cymothoidae are DME ORG COCONUT OIL parasitic isopods that infest fishes inhabiting marine, brackish, and fresh-water environments.The systematics, distribution, and host specificity of cymothoids is often unknown.In this study, morphological observations and molecular analysis using the COI and 16S rRNA genes were conducted on a juvenile individua
Identification and assessment of the driving forces for the use of urban green parks and their accessibility in Colombo, Sri Lanka, through analytical hierarchical processing
Urban green parks perform a remarkable role for the physical, social and psychological wellbeing of the urban public by providing space for relaxation and recreation, directly influencing public health through mitigation of the urban heat impact, noise reduction and moderation of air and water pollution.An indicator-based approach Slippers on analy
A Methodology for Evaluating How Product Characteristics Impact Choice in Retail Settings with Many Zero Observations: An Application to Restaurant Wine Purchase
An approach is developed to examine the impact of product characteristics on choice using a quantity-dependent hedonic model with retail panel data.Since panel data for individual products from retail Bumper settings can include a large number of zero sales, a modification of the zero-inflated Poisson (ZIP) regression model is proposed for estimati