INTRODUCTION Atypical antipsychotics are essential in managing various psychiatric disorders but associated with significant cardiometabolic side effects, including weight gain, insulin resistance, and dyslipidemia. These adverse effects increase the risk of metabolic syndrome cardiovascular diseases patients undergoing long-term antipsychotic therapy. Understanding underlying mechanisms, such as alterations appetite regulation, glucose, lipid metabolism, is crucial for developing effective...

The deployment of Deep Learning models requires attention to certain aspects not typically considered during the training phase. One these is identifying and labeling samples from unknown classes. This goal out-of-distribution (OOD) detection, which enhances robustness in open-world scenarios. There are numerous methods for addressing this problem, using different feature spaces distinguish between in-distribution OOD data. such method Open Principal Component Score (OpenPCS), a technique...

This work focuses on fault diagnosis of electronic analog circuits. A system for circuits based wavelet decomposition and artificial immune systems is proposed. It capable detecting identifying faulty components in by analyzing its impulse response. The use preprocessing the response drastically reduces size detector used Real-valued Negative Selection Algorithm (RNSA). Results have demonstrated that proposed able to detect identify faults a Sallen-Key bandpass filter circuit.

This work focuses on fault detection of electronic analog circuits. A system for circuits based cross-correlation and artificial immune is proposed. It capable detecting faulty components in by analyzing its impulse response. The use preprocessing the response drastically reduces size detector used real-valued negative selection algorithm (RNSA). proposed method can automatically generate very efficient detectors using quadtree decomposition. Results have demonstrated that able to detect...

The article deals with the design of control systems based on hybrid techniques computational intelligence. Initially, a neuro-fuzzy system is employed in several plants. used here NEFCON model, which capable learning and optimizing online rulebase Mamdani-type fuzzy controller. algorithm reinforcement that uses measure for error. Its performances linear plants diverse complexity also nonlinear one are evaluated. Results compared to those obtained through conventional techniques. main focus...

Fuzzy logic has proved to be a very powerful technique in the discipline of system control. A fuzzy controller is defined by collection if-then rules and set membership functions characterizing linguistic terms associated with inputs output controller. This paper discusses use an evolvable hardware (EHW) platform synthesis analog electronic circuits for controllers. The EHW field programmable array (FPAA). FPAAs constitute state art technology reconfigurable platforms. These devices will...

Great achievements in the area of evolvable hardware have been reported last decade. Evolvable comprises an evolutionary algorithm, such as a genetic and reconfigurable hardware, field programmable analog arrays gate arrays. In these devices, internal circuits' connections can be programmed for specific applications. this paper, configurability evolvability issues are addressed domain synthesis circuits on platform. First, implementation aspects characteristics presented: then some syntheses...

This work deals with the design of analog circuits for artificial neural networks (ANNs) controllers using an evolvable hardware (EHW) platform. ANNs are massively parallel systems that rely on simple processors and dense arrangements interconnections. These have demonstrated their ability to deliver powerful solutions in several areas, including control systems. The EHW platform is a reconfigurable platform, called programmable multiplexer array-next generation (PAMA-NG), which can be...

This work discusses the use of an evolvable hardware (EHW) platform in synthesis analog electronic circuits for fuzzy logic controllers. A controller (FLC) is defined by a collection if-then rules and set membership functions characterizing linguistic terms associated with inputs output FLC. The EHW platform, named PAMA-NG (programmable multiplexer array - next generation), reconfigurable that consists integrated whose internal connections can be programmed evolutionary computation...

This work discusses an Evolvable Hardware (EHW) platform for the synthesis of analog electronic circuits. The EHW platform, named PAMA (Programmable Analog Multiplexer Array), is a reconfigurable that consists integrated circuits whose internal connections can be programmed by Evolutionary Computation techniques, such as Genetic Algorithms, to synthesize classified Field Programmable Array (FPAA). FPAAs have just recently appeared, and most projects are being carried out in universities...

This work discuss two different intelligent controllers: Online Neuro Fuzzy Controller (ONFC) and Proportional-Integral-Derivative Neural Network (PID-NN). They were applied to maintain the equilibrium control position of a two-wheeled robot prototype. Experiments carried out investigate on flat terrain observe intrinsic performance in lack external disturbances. The effectiveness each controller was verified by experimental results, compared with conventional PID scheme for

This work discuss two different intelligent controllers: Online Neuro Fuzzy Controller (ONFC) and Proportional-Integral-Derivative Neural Network (PID-NN). They were applied to maintain the equilibrium control position of a two-wheeled robot prototype.Experiments carried out investigate movement first on flat terrain, then in other situations, where terrain may not be flat, horizontal surface.The effectiveness each controller was verified by experimental results, performance compared with...

Quantum-Inspired Evolutionary Algorithms (QIEA) represent an efficient alternative to the traditional genetic algorithms, being capable of finding good solutions with smaller populations. Echo State Networks (ESNs) are a simple and implementation Reservoir Computing framework. The use this kind networks in system identification is advantageous due its intrinsic dynamic behavior fast training procedure. However, ESNs have global parameters that should be tuned order improve their performance...

In this paper, a modulation technique is proposed by combining selective harmonic elimination (SHE-PWM) and an optimized procedure with genetic algorithms (GA). The purpose to mitigate individual components (5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> , 7 11 13 ), reduce total distortion (THD%), control the amplitude index (m <sub xmlns:xlink="http://www.w3.org/1999/xlink">a</sub> ) frequency of output fundamental component, while...

This work deals with fault detection of electronic analog circuits. A system for circuits based on cross-correlation and artificial immune systems is proposed. It capable detecting faulty components in by analyzing its impulse response. The use preprocessing the response drastically reduces size detector used Real- valued Negative Selection Algorithm (RNSA). proposed method makes genetic algorithms to automatically generate a small number very efficient detectors. Results have demonstrated...