ARTIFICIAL INTELLIGENCE BASED EFFICIENT SMART LEARNING FRAMEWORK FOR EDUCATION PLATFORM


Comparative transcriptomics from intestinal cells of permissive and non-permissive hosts during Ancylostoma ceylanicum infection reveals unique signatures of protection and host specificity

Soil-transmitted nematodes (STNs) place a tremendous burden on health and economics worldwide with an estimate of at least 1.5 billion people, or 24% of the population, being infected with at least 1 STN globally.Children and pregnant women carry the heavier pathological burden, and disease caused by the blood-feeding worm in the intestine can resu

read more

Case report: Squamous cell carcinoma and spindle cell sarcoma (SCS) arising in a mature cystic teratoma of the ovary

ObjectiveMalignant transformation of mature ovarian teratoma is a rare phenomenon, mainly occurring in postmenopausal period.Squamous cell carcinoma accounts for 80% of all malignant transformations.Sarcoma transformation is much less common and tends to imply a poorer prognosis and aggressiveness.Case reportWe report a case of undifferentiated sar

read more

Hybrid predictive coding: Inferring, fast and slow.

Predictive coding is an influential model of cortical neural activity.It proposes that perceptual beliefs are furnished by sequentially minimising "prediction errors"-the differences between predicted and observed data.Implicit in this proposal is the idea that successful perception requires multiple cycles of neural activity.This is at odds with e

read more

Additive Orthant Loss for Deep Face Recognition

Heritage Dish In this paper, we propose a novel loss function for deep face recognition, called the additive orthant loss (Orthant loss), which can be combined for softmax-based loss functions to improve the feature-discriminative capability.The Orthant loss makes features away from the origin using the rescaled softplus function and an additive ma

read more