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Assessment of Moisture Retention of Soil with Biochar Using Linear Regression and Neural Network Pattern Recognition
Marcus Caesar B. Tolentino;Josh Clarence Y. Munsayac;John David M. Lagman;Aldrich H. Ibia;Jestron Paul S. Roxas;Sean Louise C. Lopez;Conrad M. Estacio;Christ John L. Marcos;Dante L. Silva;Charlie L. Marcos;Kassandra Ghake C. Dionisio
2024 2nd International Conference on Artificial Intelligence and Automation Control (AIAC)
Year: 2024 | Conference Paper |
Biochar is a carbon-rich solid material created by pyrolysis. It has special interactions with soil's engineering properties. The study investigated how the location, type, feedstock (namely, Wood, Rice Husk, and Corn), and rate of biochar affected porosity, bulk density, and moisture retention. The study aims to bridge the gap of limited studies pertaining to the statistical tools to showcase the...Show More
Assessment of Moisture Retention of Soil with Biochar Using Linear Regression and Neural Network Pattern Recognition
Marcus Caesar B. Tolentino;Josh Clarence Y. Munsayac;John David M. Lagman;Aldrich H. Ibia;Jestron Paul S. Roxas;Sean Louise C. Lopez;Conrad M. Estacio;Christ John L. Marcos;Dante L. Silva;Charlie L. Marcos;Kassandra Ghake C. Dionisio
Year: 2024 | Conference Paper |
Neural Network Pattern Recognition for Assessment of Flood Susceptibility in Navotas City, Philippines
Christ John L. Marcos;Nicole Ashley V. Santos;Ron Gregory F. Bernardo;Karl Gabriel S. Valdez;James Randall M. Velasco;Erick James P. Bargado
2024 9th International Conference on Business and Industrial Research (ICBIR)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Navotas is one of the most flood-prone cities in the Philippines. The present authors investigated the area of the city affected by the very high floods. The authors identified 13 factors that might affect the flood in the city. After identifying the factors, the respondents assess them using a 5-point Likert scale. The findings will be evaluated through similarities of responses using neural netw...Show More
Forecasting Road Crash Trend Utilizing Recurrent Neural Network: A Time Series Analysis Approach in the City of Manila
Ian Rhazel D. Bartolome;Patricia Grace Y. Dichoso;Aldreinne Neille V. Ugali;Christ John L. Marcos;Neiconel G. Bandala
2024 4th International Conference on Artificial Intelligence, Virtual Reality and Visualization
Year: 2024 | Conference Paper |
Urban areas face significant challenges in achieving sustainable development, with road safety being a critical aspect of urban sustainability. In the City of Manila, there are a lot of factors that contribute to road crashes and road accidents, posing risks to all road users including drivers, commuters, and pedestrians. This research proposes a solution leveraging the Recurrent Neural Network (R...Show More
Prediction of Axial Load Capacity of Reinforced Concrete Column Using Artificial Neural Network
Nicos Arian Joshua P. Santos;Von Johanz Seige T. Roque;Erin Kyle A. Cabrera;Christ John L. Marcos
2024 14th International Conference on System Engineering and Technology (ICSET)
Year: 2024 | Conference Paper |
The axial load capacity (ALC) of a reinforced concrete (RC) column is a fundamental aspect of a structure. Thus, the systematic computation process plays a vital role in building design. It is widely encouraged to use artificial neural network (ANN) for this uncommon problem to predict the precise outcome. This study used three different algorithms of the ANN model to forecast the ALC of an RC col...Show More
Applicability of Indian Construction Risk Factors in the Philippines: Assessment of Time, Cost, and Quality Impact
Myka Ann Policarpio;Kate Angeline Galang;Janna Dinglasan;Christ John Marcos
2024 14th International Conference on System Engineering and Technology (ICSET)
Year: 2024 | Conference Paper |
As a developing country, the Philippines is one of the expanding countries in the construction industry. Analyzing risks in construction building projects and developing a precise method to predict them have always been challenging for project managers. The traditional method has been used for decades however, it has been proven that using the Design-Build (DB) method shows improved outcomes in co...Show More
Strength Prediction of Concrete with Cold Joints Using Artificial Neural Network and Sensitivity Analysis
2024 8th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)
Year: 2024 | Conference Paper |
Large amounts of concrete pouring are heavily seen in growing countries like the Philippines. Big projects with better planning and scheduling still face construction delays, and the construction sector, from private to public institutions, experiences it. Concrete cold joints are one of the unavoidable results of construction delays when the initial layer of concrete already hardens before placin...Show More
Assessment of Respondents’ Responses in Advancing Quantitative Key Performance Indicators for Construction Project Management Systems: Utilization of Neural Network Fitting and Clustering
Christ John L. Marcos;Justine Ray C. Magundayao;Kristine Joy G. Franco;Ira Jean Roge Fay S. Bautista
2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
Delays, risks, and accidents (DRAs) in construction project management systems (CPMSs) negatively impact construction companies. Most construction projects are executed outdoors and are susceptible to extreme weather conditions (EWCs), which can cause DRAs. This study assesses the importance of using quantitative key performance indicators (QKPIs) through the respondents’ responses that could help...Show More
Assessment of Respondents’ Responses in Advancing Quantitative Key Performance Indicators for Construction Project Management Systems: Utilization of Neural Network Fitting and Clustering
Christ John L. Marcos;Justine Ray C. Magundayao;Kristine Joy G. Franco;Ira Jean Roge Fay S. Bautista
Year: 2023 | Conference Paper |
Linear and Nonlinear Predictive Models for Manila City’s Condition and People Satisfaction
Christ John L. Marcos;Mellicynt M. Mascariola;Vanessa Angela D. Sales;Alex Mikaela M. Samonte;Kylle Arnold L. Uy;Laurenz Edward A. Martinez
2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)
Year: 2023 | Conference Paper |
Cited by: Papers (3)
Manila is the capital city of the Philippines. According to the Philippine Statistics Authority (PSA), Manila is one of the most populated cities in the country, and it is continuously growing. Therefore, the capability to provide homes or spaces for both Filipino and foreign residents is difficult and gets more difficult over time. Thus, prediction and evaluation of the condition and people satis...Show More
Silva and Marcos' Digital Data Collection Approach for Unconventional Superstructural Components
2023 5th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
Retrofitting of superstructural components (SCs) is very important in order to strengthen and prolong their useability however, the appearance of SCs becomes unconventional. Due to the retrofitting results, the strength of unconventional superstructural components (USCs) could not be predicted by the codes and standards. This study gives insight into how to predict the strength of USCs using an ar...Show More
A Synthesis of Structural Equation Model-Analytical Hierarchy Process, Nonlinear Autoregressive and Backpropagation Neural Network-Sensitivity Analysis for Construction and Demolition Waste Assessment in the Philippines
Erwin G. Peña;Dante L. Silva;Christ John L. Marcos;Bernard S. Villaverde;Divina R. Gonzales;Edgar M. Adina
2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)
Year: 2023 | Conference Paper |
Cited by: Papers (5)
The Philippines' Build-Build-Build initiative has led to an increasing number of infrastructures, which have a great impact on the public, natural resources, life cycle, and ecosystem. Hence, waste is inevitable during the infrastructure's construction or demolition. Thus, the factors of sustainable construction and demolition waste management (SCDWM) must be considered to evaluate. The structural...Show More
A Synthesis of Structural Equation Model-Analytical Hierarchy Process, Nonlinear Autoregressive and Backpropagation Neural Network-Sensitivity Analysis for Construction and Demolition Waste Assessment in the Philippines
Erwin G. Peña;Dante L. Silva;Christ John L. Marcos;Bernard S. Villaverde;Divina R. Gonzales;Edgar M. Adina
Year: 2023 | Conference Paper |
Shear Strength Prediction of Unusual Interior Reinforced Concrete Beam-Column Joint Using Multi-Layer Neural Network: a Data Collection by Digital 3D Finite Element Simulation
2022 XXV International Conference on Soft Computing and Measurements (SCM)
Year: 2022 | Conference Paper |
Cited by: Papers (9)
One of the controversial topics in the literature on structural engineering is retrofitting existing substandard interior reinforced concrete beam-column joints. However, these retrofitting methods gave an unusual shape to the joints, causing the unpredictability of their strength. A machine learning application was developed to predict the shear strength of unusual joint, farther finite element a...Show More
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