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2. Contributors

Author

Salem Abdelmalek, Praveen Agarwal, Shivi Agarwal, Saeed Akber, Ahmet Ocak Akdemir, Abdelouahed Alla Hamou, Sinan Aslan, Uday Awasthi, Elhoussine Azroul, Iqbal M. Batiha, Samir Bendoukha, Kalyan Chatterjee, Jackel Vui Lung Chew, Lamia Djebara, Alper Ekinci, A.A. El-Sayed, S.P. Goyal, Rajeev Gupta, Tooba Hameed, Zakia Hammouch, Jordan Hristov, İmdat İşcan, Shilpi Jain, Salvador Jiménez, Najeeb Alam Khan, Amina Aicha Khennaoui, Sanjay Kumar, Abdelilah Lamrani Alaoui, Rajasi Mandal, Trilok Mathur, Shimaa I. Moustafa, S.I. Moustafa, Faïçal Ndaïrou, Yadollah Ordokhani, Adel Ouannas, Girish Parmar, Viet-thanh Pham, K. Satya Pritam, Muhammad Ali Qureshi, Oyoon Abdul Razzaq, Daniyal Ur Rehman, Sedigheh Sabermahani, Rita Saini, Har Amrit Singh Sandhu, Ram Naresh Saraswat, Erhan Set, A. Shehata, Ayman Shehata, Sanjay Kumar Singh, Jumat Sulaiman, Andang Sunarto, Ajay Tak, Delfim F.M. Torres, David Usero, Luis Vázquez, J. Luis Vázquez-Poletti, and M. Pilar Velasco

Published
2023

4. SFS/PI Approach for AGC of Two Area Interconnected Thermal Power System

Author

Girish Parmar, Afzal Sikander, Rajeev Gupta, and Rita Saini

Subjects
Fractal, Automatic Generation Control, Control theory, Pi, Thermal power station, PID controller, Value (computer science), Optimal tuning, Mathematics
Abstract

In this paper, stochastic fractal search (SFS) algorithm has been applied for optimal tuning of the parameters of two dissimilar PI controllers in automatic generation control (AGC) of interconnected thermal power systems with ITAE as objective function. The performance of the proposed SFS tuned PI controller for the same has also been compared with some popular techniques existing in the literature. From the simulation results, it has been found that the PI controllers optimized/tuned by the SFS produces less ITAE value, settling times, smooth dynamic response, less oscillations, and fast dynamic response when compared with some popular approaches in the literature for the same considered system and ITAE.

Published
2020

5. Prediction of Source Code Quality Using Cyclomatic Complexity and Machine Learning

Author

Rita Saini

Subjects
Source code, business.industry, Computer science, media_common.quotation_subject, Cyclomatic complexity, Machine learning, computer.software_genre, Computer Science (miscellaneous), Quality (business), Artificial intelligence, Electrical and Electronic Engineering, business, computer, media_common
Published
2020

7. Biological therapy for psoriasis: an overview of infliximab, etanercept, efalizumab and alefacept

Author

William D, Tutrone, Rita, Saini, and Jeffery M, Weinberg

Subjects
Clinical Trials as Topic, Mice, Immunoglobulin G, Recombinant Fusion Proteins, Animals, Antibodies, Monoclonal, Humans, Psoriasis, Alefacept, Antibodies, Monoclonal, Humanized, Infliximab, Receptors, Tumor Necrosis Factor, Etanercept
Abstract

Psoriasis is a chronic skin disorder that affects approximately 2% of the US and European population. Over the last several years one of the major foci in psoriasis research has been the development of biological therapies for this disease. The aim of these therapies is to provide selective, immunologically directed intervention with fewer side effects than traditional therapies. This article will review the progress of four biological agents that are available or under investigation for clinical use: infliximab (Centocor Inc), etanercept (Amgen Inc/Wyeth), efalizumab (Genentech Inc/XOMA Ltd/Serono SA) and alefacept.

Published
2004

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