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View article: A Tunable Gain and Bandwidth Low-Noise Amplifier with 1.44 NEF for EMG and EOG Biopotential Signal
A Tunable Gain and Bandwidth Low-Noise Amplifier with 1.44 NEF for EMG and EOG Biopotential Signal Open
This paper presents a low-noise inverter-based current-mode instrumentation amplifier with tunable gain and bandwidth for electromyogram (EMG) and electrooculogram (EOG) biopotential signals, targeting low input noise while maintaining low…
View article: PACOSYT: A Passive Component Synthesis Tool Based on Machine Learning and Tailored Modeling Strategies Towards Optimal RF and mm-Wave Circuit Designs
PACOSYT: A Passive Component Synthesis Tool Based on Machine Learning and Tailored Modeling Strategies Towards Optimal RF and mm-Wave Circuit Designs Open
In this paper, the application of regression-based supervised machine learning (ML) methods to the modeling of integrated inductors and transformers is examined. Different ML techniques are used and compared to improve accuracy. However, i…
View article: Behavioral Analysis of Noise and Bandwidth Specifications of Heartbeat Detection Circuits for Ultra Low Power Devices
Behavioral Analysis of Noise and Bandwidth Specifications of Heartbeat Detection Circuits for Ultra Low Power Devices Open
This paper presents the behavioral modeling of three circuit architectures, which are suitable for heartbeat detection in wireless healthcare applications. The developed front-end models implement an analog system that detects the heartbea…
View article: Differentiable Constraints’ Encoding for Gradient-Based Analog Integrated Circuit Placement Optimization
Differentiable Constraints’ Encoding for Gradient-Based Analog Integrated Circuit Placement Optimization Open
Analog IC design is characterized by non-systematic re-design iterations, often requiring partial or complete layout re-design. The layout task usually starts with device placement, where the several performance figures and constraints to …
View article: Exploiting a Deep Learning Toolbox for Human-Machine Feedback towards Analog Integrated Circuit Placement Automation
Exploiting a Deep Learning Toolbox for Human-Machine Feedback towards Analog Integrated Circuit Placement Automation Open
The layout design of analog integrated circuits has been defying all automation attempts, and it is still primarily a handcrafting process carried by circuit designers on traditional layout editing frameworks. This paper presents a toolbox…
View article: Surrogate-assisted automatic evolving of dispatching rules for multi-objective dynamic job shop scheduling using genetic programming
Surrogate-assisted automatic evolving of dispatching rules for multi-objective dynamic job shop scheduling using genetic programming Open
Dispatching rules are simple but efficient heuristics to solve multi-objective job shop scheduling problems, particularly useful to face the challenges of dynamic shop environments. A promising method to automatically evolve non-dominated …
View article: Scalable and order invariant analog integrated circuit placement with Attention-based Graph-to-Sequence deep models
Scalable and order invariant analog integrated circuit placement with Attention-based Graph-to-Sequence deep models Open
The design of integrated circuits (ICs) in the analog spectrum is intricate due to the signals' continuous nature. Additionally, it is strongly affected by the physical implementation of their devices on the circuits' layout, a task that h…
View article: Machine Learning Approaches for Transformer Modeling
Machine Learning Approaches for Transformer Modeling Open
Resumen del trabajo presentado a la 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), celebrada en Sardinia (Italia) del 12 al 15 de junio de 2022.
View article: Surrogate-Assisted Automatic Evolving of Dispatching Rules for Multi-Objective Dynamic Job Shop Scheduling Using Genetic Programming
Surrogate-Assisted Automatic Evolving of Dispatching Rules for Multi-Objective Dynamic Job Shop Scheduling Using Genetic Programming Open
View article: Machine Learning-Based Pairs Trading Strategy with Multivariate
Machine Learning-Based Pairs Trading Strategy with Multivariate Open
View article: Hierarchical Yield-Aware Synthesis Methodology Covering Device-, Circuit-, and System-Level for Radiofrequency ICs
Hierarchical Yield-Aware Synthesis Methodology Covering Device-, Circuit-, and System-Level for Radiofrequency ICs Open
This paper presents an innovative yield-aware synthesis strategy based on a hierarchical
\nbottom-up methodology that uses a multiobjective evolutionary optimization algorithm to design a complete
\nradiofrequency integrated circuit from t…
View article: Ready-to-Fabricate RF Circuit Synthesis Using a Layout- and Variability-Aware Optimization-Based Methodology
Ready-to-Fabricate RF Circuit Synthesis Using a Layout- and Variability-Aware Optimization-Based Methodology Open
In this paper, physical implementations and measurement results are presented for several Voltage Controlled Oscillators that were designed using a fully-automated, layout- and variability-aware optimization-based methodology. The methodol…
View article: Committees
Committees Open
View article: Centralized Unmanned Aerial Vehicle Mesh Network Placement Scheme: A Multi-Objective Evolutionary Algorithm Approach
Centralized Unmanned Aerial Vehicle Mesh Network Placement Scheme: A Multi-Objective Evolutionary Algorithm Approach Open
In the past, Unmanned Aerial Vehicles (UAVs) were mostly used in military operations to prevent pilot losses. Nowadays, the fast technological evolution has enabled the production of a class of cost-effective UAVs that can service a pletho…
View article: Currency exchange prediction using machine learning, genetic algorithms and technical analysis
Currency exchange prediction using machine learning, genetic algorithms and technical analysis Open
Technical analysis is used to discover investment opportunities. To test this hypothesis we propose an hybrid system using machine learning techniques together with genetic algorithms. Using technical analysis there are more ways to repres…
View article: Two-Step RF IC Block Synthesis With Preoptimized Inductors and Full Layout Generation In-the-Loop
Two-Step RF IC Block Synthesis With Preoptimized Inductors and Full Layout Generation In-the-Loop Open
In this paper, an analysis of the methodologies proposed in the past years to automate the synthesis of radio-frequency (RF) integrated circuit blocks is presented. In the light of this analysis, and to avoid nonsystematic iterations betwe…
View article: Enhanced systematic design of a voltage controlled oscillator using a two-step optimization methodology
Enhanced systematic design of a voltage controlled oscillator using a two-step optimization methodology Open