A novel fuzzy assisted sliding mode control approach for frequency regulation of wind-supported autonomous microgrid.

Autonomous microgrids (ATMG), with green power sources, like solar and wind, require an efficient control scheme to secure frequency stability. The weather and locationally dependent behavior of the green power sources impact the system frequency imperfectly. This paper develops an intelligent, i.

Robustic and hybrid cobalt doped BaFeO hexaferrites for the photocatalytic degradation of Congo Red for wastewater treatment.

The industrial sector faces a significant challenge in finding the highly effective and efficient treatments for harmful dye-based color effluents. In this study, pure and cobalt doped barium hexaferrite of chemical formula, BaCoFeO (x = 0-0.06) are made via sol-gel auto-combustion (SC) methodology.

SURABHI: Self-Training Using Rectified Annotations-Based Hard Instances for Eidetic Cattle Recognition.

We propose a self-training scheme, SURABHI, that trains deep-learning keypoint detection models on machine-annotated instances, together with the methodology to generate those instances. SURABHI aims to improve the keypoint detection accuracy not by altering the structure of a deep-learning-based keypoint detector model but by generating highly effective training instances. The machine-annotated instances used in SURABHI are hard instances-instances that require a rectifier to correct the keypoints misplaced by the keypoint detection model.

Modified Cajal's trichrome stain in oral squamous cell carcinoma.

Background: Modified Cajal's trichrome stain (MCTS) is a good differential stain that allows one to visibly distinguish between connective tissue and epithelial elements with different tonalities of colour.

Aim: Our study aims to evaluate and analyse the effectiveness of oral squamous cell carcinoma (OSCC) using MCTS.

Materials And Methods: A study was conducted retrospectively with 30 tissue blocks embedded in paraffin from cases of OSCC that have been confirmed by histopathology.

Evaluating Artificial Intelligence (AI)-Generated Patient Education Guides on Epilepsy: A Cross-Sectional Study of ChatGPT and Google Gemini.

Introduction Epilepsy is a chronic disorder that requires patient education for management and to avoid triggers and complications. This study aims to evaluate and compare the effectiveness of two artificial intelligence (AI) tools, ChatGPT (version 3.5, OpenAI, Inc.