Ahmad Almadhor

TL;DR: In this article , an improved transient search optimization algorithm (ITSOA) integrated with multi-objective optimization for determining the optimal configuration of an unbalanced distribution network is proposed.

TL;DR: Zhang et al. as discussed by the authors proposed an adaptive directed denoising filter (ADD filter) based on a neural network, which consists of three major stages: training, filtering, and enhancing.

TL;DR: In this paper , an optimal and multi-objective planning of a hybrid energy system (HES) with wind turbine and battery storage (WT/Battery) has been proposed to drop power loss, smooth voltage profile, enhance customers reliability, as well as minimize the net present cost of the hybrid system plus the battery degradation cost.

TL;DR: In this article , a convolutional neural network (CNN-) based cervical cell classification using the publicly available SIPaKMeD dataset having five cell categories: superficial-intermediate, parabasal, koilocytotic, metaplastic, and dyskeratotic.

TL;DR: In this paper , the authors presented a methodology adaptation on machine learning technique for appropriate classification of different failure conditions on blade during turbine operation, and five defects were reported for the diagnosis study of defective wind turbine rotor blades, and the considered defects are blade crack, erosion, loose hub blade contact, angle twist and blade bend.