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Archive of Advanced Engineering Science — Volume 57 (2025), Issue 6

Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-23-06-2025-848
Title : A Literature Review of Artificial Intelligence - Driven Advancements in Asphalt Quality Assurance
Dr. Edwin Arboleda, , Dr. Willie Buclatin, , Engr. Ryan Castronuevo, , Engr. Mark Glenn Dominguez, , Engr. Reynaldo Llamera,
Abstract : The revolutionary influence of Artificial Intelligence (AI) developments on asphalt quality assurance in the context of road re-blocking initiatives. It is clear from a careful review of current academic publications that artificial intelligence (AI) technologies are changing the asphalt quality evaluation field. The study investigates various approaches, such as dynamic quality monitoring systems, intelligent sensing aggregates, and advanced imaging methods for examining aggregate forms in asph
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-13-06-2025-844
Title : A Study on Alzheimer’s Disease Detection using Deep Neural Networks
Rashmi K, , Madhu M Nayak, , Pradeep S,
Abstract : Alzheimer’s disease (AD) is a progressive neurode- generative condition that features loss of brain volume, loss of neurons, and deposition of amyloid and tau proteins resulting in dementia and cognitive decline. Since AD evolves 8–15 years before the development of overt symptoms and is not treatable, timely diagnosis is imperative to slow down the progression of the disease and enhance patient outcomes. The objective of this research is to classify Alzheimer’s disease stages using deep learnin
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-28-06-2025-853
Title : Analysis of Energy Storage Performance in Electric Vehicles: A Literature Review
Carlo P. Aranillo, , Engelyka M. Ballara, , Abby Joyce O. Ubatay, , Edwin R. Arboleda,
Abstract : This literature review explores the current state, performance, challenges, and future directions of battery technologies used in electric vehicles (EVs). Batteries are a cornerstone of EV functionality, directly influencing their range, efficiency, and commercial viability. The review compares commonly used battery types—such as lithium-ion, nickel- metal hydride, and lead-acid—based on key performance metrics including energy density, cycle life, power output, and charging time. Recent advance
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-13-06-2025-843
Title : Examining Machine Learning Methods to Determine High Performance Concrete's Strength
Varshitha D N, , Ranjan Kumar H S, , Latha D U, , Savita Choudhary, , Srushti S, , Chandana M, , Harshitha M,
Abstract : This paper explores the application of machine learning algorithms in predicting the compressive strength of high-performance concrete (HPC), a critical aspect of ensuring structural integrity in modern construction. Various machine learning models—such as XGBoost, K-nearest neighbors (KNN), Decision Tree, and Random Forest—were evaluated to predict HPC strength with high accuracy. The study compares the performance of these models using metrics like R², MAE, and RMSE to identify the most effect
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-13-06-2025-845
Title : Integrating Transfer Learning and Ensemble Techniques for Accurate Breast Cancer Classification
Latha D U, , Manu Y M, , Varshitha D N,
Abstract : Breast cancer continues to be among the major causes of cancer mortality among women worldwide, with more than 2 million cases and around 680,000 deaths recorded in 2020, as per the World Health Organization (WHO). Early diagnosis is very important, especially in low- and middle-income countries (LMICs) where diagnostic facilities are scarce. In this paper, a non-invasive breast cancer classification system based on thermal infrared imaging and deep learning is suggested. The DMR-IR dataset, whi
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-27-06-2025-852
Title : Literature Review: Use of Seashells as Concrete Reinforcement
Engr. Jomelson Arias, , Engr. Brian Samuel Llamado, , Engr. Mark Angelo Perez, , Dr. Edwin Arboleda, , Dr. Willie Buclatin,
Abstract : This literature review explores the use of seashells as an alternative material for reinforcing concrete, focusing on their mechanical performance, environmental impact, and structural potential. Seashells, primarily composed of calcium carbonate, have been studied as partial replacements for fine and coarse aggregates or cement. Research shows that seashell-reinforced concrete can improve tensile and flexural strength, enhance durability, and contribute to sustainability—particularly when used
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-23-06-2025-849
Title : Optimized Block Hash Generation in Cloud-Based Blockchain Using Advanced Hash Tree and Hybrid Secure Hash Algorithm
V Uday Kumar,
Abstract : Blockchain is a Peer to Peer decentralized and distributed ledger system that records transactions across multiple computers or nodes in a secure, transparent, and immutable manner. Blockchain is quickly getting evolved from application like crypto currencies to health care systems. In Blockchain technology, each user has their own blockchain. Transactions are recorded in blocks which are main component of blockchain. Typically, the size of block is not more than 1MB. New blocks are created when
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