The method of predicting the electricity load of a home using deep learning techniques is called intelligent home load prediction based on deep convolutional neural networks. This method uses convolutional neural networks to analyze data from various sources such as weather, time of day, and other factors to accurately predict the electricity load of a home. The purpose of this method is to help optimize energy usage and reduce energy costs. The article proposes a deep learning-based approach for nonpermanent residential electrical ener-gy load forecasting that employs temporal convolutional networks (TCN) to model historic load collection with timeseries traits and to study notably dynamic patterns of variants amongst attribute par

Semantic segmentation is an exciting research topic in medical image analysis because it aims to detect objects in medical images. In recent years, approaches based on deep learning have shown a more reliable performance than traditional approaches in medical image segmentation. The U-Net network is one of the most successful end-to-end convolutional neural networks (CNNs) presented for medical image segmentation. This paper proposes a multiscale Residual Dilated convolution neural network (MSRD-UNet) based on U-Net. MSRD-UNet replaced the traditional convolution block with a novel deeper block that fuses multi-layer features using dilated and residual convolution. In addition, the squeeze and execution attention mechanism (SE) and the s

which is much useful in the Arabic Language generally in the Holly Quran especially. It is the pronoun  I have taken in the semantic aspect from it and I have done on the surra sabba which varities  the semantical pronoun in it among the pronoun of the speaker the conscience of the addressee the absent  such the the siprat pronoun that comes in it with the explanation for its importance and its work and this is the subject of the first unit which I advanced it from the concept of the pronoun Linguistically and convention. After that I have lighten in some meanings which I have done in the surrat as a semantic , magnification , proud, reprimand and others which I ended my research I have reached the results from it

Various semantic innovations and expansions have been tackled as factors and sources of neos.  A variety of internal (linguistic) and external (extra-linguistic) motives and motifs leads to the appearance of new terms causing such changes in the political language.  Some statesmen are productive in introducing new terms and creative in manipulating expressions and meanings.

      New words are nonces that get metaphorical expansion for quadrilateral motivations resting on extra meaning innovation, new terms at the semantic expansions to be honed as neos.  In tracing the phases of the semantic processes of neos and hulks, lexical and semantic changes might be of widening or narrowing of refe

The cinematic medium consists of a group of elements that overlap with each other in balance, giving it its high influential capabilities, and the character is one of the most important of these elements, as it performs a set of important functions, foremost of which is the transmission of the main ideas to the recipient, and since cinema is an art closely related to the intellectual data of the worlds outside it, it is influenced by them and then reproduces them intellectually more deeply and with a higher vitality through its intermediate elements, including the character, to re-broadcast them to society with a retrograde movement, and the character of the prisoner is one of the cinematic characters that achieved this goal, as we can infe