in this paper, the development and optimization of power distribution control strategy (pdcs) have been performed for a hybrid energy storage systems (hess) of a series hybrid electric bus (sheb). a common pdcs is based on the use of ultra-capacitor (uc) pack. a new simple pdcs is developed as a battery based one. for the battery based pdcs, four parameters are introduced for tuning the pdcs pe...

The focus of cloud computing nowadays has been reshaping the digital epoch, in which clients now face serious concerns about security and privacy their data hosted cloud, as well increasingly sophisticated frequent cyberattacks. Therefore, it become imperative for both individuals organizations to implement a robust intrusion detection system (IDS) capable monitoring packets network, distinguis...

Melanoma is the most aggressive form of skin cancer which is responsible for the majority of skin cancer related deaths. Recently, image-based Computer Aided Diagnosis (CAD) systems are being increasingly used to help skin cancer specialists in detecting melanoma lesions early, and consequently reduce mortality rates. In this paper, we implement the most compute-intensive classification stage i...

Cardiovascular diseases leading to heart attack kills nearly 17.9 million humans. The complexity of this disease’s lies in the fact that it suddenly fails functioning human and then SOP (Standard Operating Plan) is required; if not provided on time, patients’ life danger. Proper health care system takes time detect cause effectively start diagnosis whereas our proposed efficiently accurately te...

Many organizations are nowadays keeping their data in the form of multi-level categories for easier manageability. An example of this is the Reuters Corpus which has news items categorized in a hierarchy of up to five levels. The volume and diversity of documents available in such category hierarchies is also increasing daily. As such, it becomes difficult for a traditional classifier to effici...

In this paper, a hybrid classifier using fuzzy clustering and several neural networks has been proposed. With using the fuzzy C-means algorithm, training samples will be clustered and the inappropriate data will be detected and moved to another dataset (RemovedDataset) and used differently in the classification phase. Also, in the proposed method using the membership degree of samples to the cl...

We propose a hybrid hierarchical classifier that solves multiclass problems in high dimensional space using a set of binary classifiers arranged as a tree in the space of classes. It incorporates good aspects of both the binary hierarchical classifier (BHC) and the margin tree algorithm, and is effective over a large range of (sample size, input dimensionality) values. Two aspects of the propos...