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Volume 6 Issue 3

Emerging Innovations in Semiconductor Devices and Advanced Functional Materials for Next-Generation Electronics

Dr. D. Sri Silpa

CrossRef DOI URL : https://doi.org/10.31426/ijesti.2026.6.3.6111


Modern electronics are built on semiconductors, which allow for improvements in communication, computing, healthcare, and renewable energy systems. Miniaturized and highly efficient electronic components are the result of ongoing research into semiconductor materials, fabrication techniques, and device layouts. Fundamental semiconductor principles, recent developments in semiconductor materials, new device technologies, fabrication difficulties, and upcoming trends are all covered in this essay. Nanoscale devices, power semiconductors, and semiconductor applications in Internet of Things (IoT) and artificial intelligence (AI) systems are given particular attention..

Cognitive Infrastructure Modeling for Self-Optimizing Data Centers: A Systems Intelligence Framework

Dr. Venkata Ramana Akkaraju

CrossRef DOI URL : https://doi.org/10.31426/ijesti.2026.6.3.6112


The growing complexity of operations at contemporary cloud data centers demands a shift in the response-oriented management of resources to autonomous and intelligence-driven control of infrastructure. This paper will suggest a Cognitive Infrastructure Modeling (CIM) framework that is used to support a self-optimizing data center with a multi-objective Cognitive Predictive Self-Optimization (CPSO) algorithm that is based on workload forecasting, reinforcement learning, and variance-sensitive scheduling. .

Detection of Facial Expressions Using Machine Learning in Matalb

Swati Sharma

CrossRef DOI URL : https://doi.org/10.31426/ijesti.2026.6.3.6113


Facial expression of emotion are signals of elevated biological values. They are thought to have evolved in part to serve a critical communicatory function between conspecifics. Cross-cultural differences in perception of facial expressions revealed by recent studies. The facial expression recognition system presented in this research work contributes a resilient face recognition model. It is based on the mapping of behavioral characteristics with the physiological biometric characteristics. The behavioral aspect of this system relates the attitude behind different expressions as property base. Property bases are alienated as exposed and hidden category in genetic algorithmic genes. The design of a novel asymmetric cryptosystem based on biometrics eliminates the use of passwords and smart cards. This research work promises a new direction of research..

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Publication:
31-March-2026