Results 31 to 40 of about 112,863 (285)

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Critical study of type-2 fuzzy logic control from theory to applications: A state-of-the-art comprehensive survey

e-Prime: Advances in Electrical Engineering, Electronics and Energy
The review systematically explores the theoretical foundations of type-2 fuzzy sets and the associated mathematical frameworks of the advancements in type-2 fuzzy logic systems (T2-FLS), as well as a comprehensive overview of the state-of-the-art ...
F. Paul Nishanth, Saroj Kumar Dash, Soumya Ranjan Mahapatro   +2 more
doaj   +1 more source

Mathematical modeling of the additional equipment of the internal combustion engine cooling system

Вестник СибАДИ, 2017
The method of a choice of the additional equipment of the internal combustion engine (ICE) cooling system is considered. The ICE cooling system is offered that realizes the fan control on the basis of the fuzzy logic controller.
V. P. Denisov, A. P. Dombrovsky, V. A. Mescheryakov   +2 more
doaj   +1 more source

Fuzzy Aggregators - an Overview [PDF]

Interdisciplinary Description of Complex Systems, 2023
The article deals with mathematical formalism of the process of combining several inputs into a single output in fuzzy inteligent systems, the process known as aggregation. We are interested in logic aggregation operators. Such aggregators are present in
Dragan Z. Šaletić
doaj  

Simulation of speed control brushless DC motor using gaussian fuzzy logic controller [PDF]

, 2014
This paper presents a control scheme of a Fuzzy Logic for the brushless direct current (BLDC) motor drives. The BLDC motor has some advantages compare to others type of motors.
Abd Karim, Nurliana
core  

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

MEDICAL FUZZY-EXPERT SYSTEM FOR PREDICTION OF ENGRAFTMENT DEGREE OF DENTAL IMPLANTS IN PATIENTS WITH CHRONIC LIVER DISEASE

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
The paper presents an information technology for assessing the degree of engraftment of dental implants in the event of a pathology violation through the use of fuzzy sets, which allows using this method for medical diagnostic tasks.
Vitaliy Polishchuk, Sergii Pavlov, Sergii Polishchuk, Sergii Shuvalov, Andriy Dalishchuk, Natalia Sachaniuk-Kavets’ka, Kuralay Mukhsina, Abilkaiyr Nazerke   +7 more
doaj   +1 more source

CAPP MODEL OF FUZZY SYSTEMS AND FUZZY MANUFACTURABILITY [PDF]

Journal of Process Management and New Technologies, 2013
They give the soles of technological design process using fuzzy logic for metal cutting, referring to the determination of all the elements of production process: the dimensions and quality of the workpiece material, the sequence and scope of ...
Radivoje Antić, Slavica Cvetković, Branko Pejović, Milan Cvetković   +3 more
doaj  

Development of a DC-DC buck boost converter using fuzzy logic control [PDF]

, 2011
A fuzzy controller of DC-DC Buck-boost converter is designed and presented in this project. In order to control the output voltage of the buck-boost converter, the controller is designed to change the duty cycle of the converter. The mathematical model
Shaban Jaber, Fathi
core  

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source