Institution
King Mongkut's Institute of Technology Ladkrabang
Recent research
- Materials & EnergyOpen access
In this study, a molecularly imprinted polymer (MIP)-based electrochemical biosensor was developed for the selective detection of Escherichia coli (E. coli). The MIP recognition layer was synthesized by free-radical polymerization using MAM, AAM and VP as functional monomers with...
- Engineering & TechnologyOpen access
Deposited by the first author (N. Nisup, King Mongkut's Institute of Technology Ladkrabang) to accompany the manuscript prepared for submission to Sensors. The protocol was frozen before screening began; the searches ran on 2026-09-28, before protocol approval, and were ratified...
- Engineering & TechnologyOpen access
Strengthening of Recycled Aggregate Concrete with Novel Natural Banana Fiber Rope Confinement
This study investigates the effectiveness of banana rope confinement, a biodegradable and low-cost natural fiber technique, in enhancing the compressive behavior and seismic performance of concrete incorporating recycled materials. An experimental program was conducted on cylindr...
- AI & ComputingOpen access
Bibliometric commentary increasingly frames the rise of generative artificial intelligence (AI) as a paradigm shift in AI-in-education (AIED) research, yet rarely distinguishes publication growth from genuine reconfiguration of the knowledge base or of teacher–learner roles. This...
- Engineering & TechnologyOpen access
The development of high-performance sodium-selenium (Na-Se) batteries is critically hindered by the dissolution and migration of intermediate polyselenide species, which induce severe shuttle effects and degrade cycling stability. In this work, first-principles density functional...
- AI & ComputingOpen access
Two-Reader Detection Method for Staggered Dual-Layer Bit-Patterned Magnetic Recording Media
Dual-layer recording doubles the effective areal density of bit-patterned magnetic media, but because both layers are sensed by a common reader, interlayer interference (ILI) is the dominant impairment. This paper presents a two-reader detection method for staggered, dual-layer b...
- Engineering & TechnologyOpen access
Machine Learning and Deep Learning Techniques for Fault Location in Transmission Lines
Fault location in a power system is a sensitive task because of the grid’s complex environment. Traditional fault-location methods that rely only on impedance estimates or traveling waves are less accurate than before because modern transmission networks are more complex due to t...
- Climate & EnvironmentOpen access
Abstract Mudskippers (Oxudercinae) are amphibious gobioid fishes inhabiting intertidal and mangrove ecosystems throughout the Indo–West Pacific region. Despite their ecological importance, information on their helminth fauna remains scarce. During a survey of parasites infecting...
- Engineering & TechnologyOpen access
The rapid depletion of fossil fuels and increasing environmental concerns has intensified the search for sustainable energy recovery from biomass residues. Wastewater sludge generated during ribbed smoked sheet (RSS) rubber production is an underutilized by-product rich in organi...
- Engineering & TechnologyOpen access
This study compares the elastic modal characteristics of reinforced-concrete cantilever beams containing four and six 12 mm longitudinal reinforcing bars using three-dimensional finite element analysis (FEA) and an exploratory machine learning (ML) exercise. Beam geometry, materi...
- Materials & Energy
Abstract This research examines the passivation behavior of AISI 304L stainless steel containing various weight percentages of manganese and copper. Four specific alloy compositions were analyzed: 1.0%Mn-0.23%Cu, 1.2%Mn-0.40%Cu, 1.4%Mn-0.22%Cu, and 1.7%Mn-0.37%Cu. Potentiodynamic...
- Climate & EnvironmentOpen access
ABSTRACT This study presents the design and implementation of a prototype‐scale hybrid CO 2 capture system that combines Wolffia globosa cultivation, mineral carbonation with waste seashell‐derived CaO, and real‐time IoT‐based monitoring. Waste seashells were calcined at 900°C to...
- AI & ComputingOpen access
Decades-old enterprise-resource-planning (ERP) systems lock operational data inside unstructured, human-readable reports, forcing slow, costly, error-prone manual re-keying. Because multimodal large language model (MLLM) capability is uneven, deploying MLLMs for extraction means...
- Climate & EnvironmentOpen access
Abstract Sustainable conversion of solid waste into RDF using industrial scale management was conducted using a case study from central Thailand. Raw material waste from households and landfills were identified for high heating value composition, both contained substantial shares...