A5064584046- Smart Grid Energy Management
- Water Quality Monitoring Technologies
- Online Learning and Analytics
- Transcranial Magnetic Stimulation Studies
- Machine Learning in Healthcare
- COVID-19 diagnosis using AI
- Smart Grid Security and Resilience
- Artificial Intelligence in Healthcare
- Engineering Education and Technology
- Technology-Enhanced Education Studies
- Energy Load and Power Forecasting
- Modular Robots and Swarm Intelligence
- Greenhouse Technology and Climate Control
- Marine Bivalve and Aquaculture Studies
- Energy Efficiency and Management
- Robotics and Automated Systems
- Traffic control and management
- Vehicular Ad Hoc Networks (VANETs)
- RFID technology advancements
- Neuroethics, Human Enhancement, Biomedical Innovations
- ECG Monitoring and Analysis
- Microgrid Control and Optimization
- Science, Technology, and Education in Latin America
- Analog and Mixed-Signal Circuit Design
- Diverse Topics in Contemporary Research
Universidad Politécnica de Pachuca
2018-2025
Polytechnic University
2024
National Institute of Astrophysics, Optics and Electronics
2005
Background and objective: Chronic kidney disease (CKD) has a covert nature in its early stages that could postpone diagnosis. Early diagnosis can reduce or prevent the progression of renal damage. The present study introduces an expert medical decision support system (MDSS) based on adaptive neuro-fuzzy inference (ANFIS) to predict timeframe failure. Methods: core MDSS is Takagi-Sugeno type ANFIS model predicts glomerular filtration rate (GFR) values as biological marker uses 10-year...
In this article, an approach for optimizing energy consumption in smart buildings using machine learning algorithms is presented. Utilizing TDSP, data on climatic conditions, occupancy, and obtained from EnergyPlus software are integrated. Feature selection feature importance techniques, as well statistical analyses, implemented to select variables that used train models such MLP neural networks, support vector machines, random forest, XGBRegressor predicting consumption, with accuracy...
The project involves the development of an intelligent system for managing and optimizing water consumption in residential settings, addressing significant loss this vital resource due to leaks domestic pipelines, particularly toilets. To mitigate issue silent toilets, a mechanism based on Hall effect sensors was implemented, allowing real-time monitoring flow toilet tank, detection irregularities, user notification through communication network. designed integrates PIC18F4550...
In this work it is showed fuzzy model, trained with ANFIS algorithm, to estimate water evapotranspiration (ET) of a tomato plant, as witness in the production greenhouse. There are two variables used, VPD that represents microclimate greenhouse and mass was measured digital balance (lysimeter). Additionally, second lysimeter used prove result structure by means principle, proved effectiveness model proposed. The experimental results here presented from days, pot plant saturated no irrigation...
This paper presents the design and implementation of a simple fuzzy logic controller (FLC) for DC-DC buck converter based on PIC18F4550 microcontroller to control lead acid battery charging voltage in solar cells applications. For cost consideration, an inexpensive 8-bit is selected program implement FLC proportionalintegral. The obtained simulation experimental results show viability with variation load showing good performance FLC, it has also smooth response small overshoot.
This paper presents the development of an electronic prototype for estimating systolic blood pressure (SBP), diastolic (DBP) and heart rate (HR) by using features extracted from oscillometric signal obtained device. Firstly, HR was determined through peaks provided in a period thirty seconds, providing estimated value beats per minute (bpm). Second, (BP) indexes were acquired multi-layer perceptron (MLP) combination Maximum Amplitude Algorithm (MAA), which detects Mean Arterial Pressure...
This paper presents a comprehensive state-of-the-art analysis and mathematical modeling of the National Program for Smart Cities (PRONACES) initiatives in Mexico's journey towards smart city development. The focus is on examining how PRONACES integrates technological innovation with urban planning sustainability, leveraging models to optimize predict outcomes various initiatives. methodology includes review current literature establish state art, followed by development application assess...
Advances in medical technology suggest that the application of implantable devices or Smart Hospital Devices (SHD) can enhance control and treatment chronic disorders. However, most these developments require an electrical power source for operation, making use batteries unfeasible. This paper presents design resonance analysis four different geometries fabrication planar antennas as alternative to a contactless supply. Previously published software [19] was used calculate parameters each...
Background and Objective: Transcranial Direct Current Stimulation (tDCS) may exert therapeutic effects on tinnitus. This Randomized Control Trial (RCT) with double blind placebo design investigates the potential of chronic intractable tinnitus using a new protocol. Acute repeated sessions bifrontal two months follow up will be used for treatment symptoms comorbid anxiety depression. To best our knowledge, this is first randomized control trial investigating acute exposure in Methods:...