P. Balasubramanian
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View article: Augmented machine learning with limited data for hydrogen yield prediction in wastewater dark fermentation
Augmented machine learning with limited data for hydrogen yield prediction in wastewater dark fermentation Open
Current machine learning (ML) efforts for predicting hydrogen yield in dark fermentation are constrained by limited sample sizes and distributional skewness, yielding unstable models. These data characteristics fundamentally restrict gener…
View article: Enhanced machine learning prediction of biochar adsorption for dyes: Parameter optimization and experimental validation
Enhanced machine learning prediction of biochar adsorption for dyes: Parameter optimization and experimental validation Open
Biochar, as an eco-friendly, carbon-rich,and economical adsorbent, proven effective in removing toxic dyes from aquatic environments. This study evaluated the efficacy of machine learning (ML) models in predicting the adsorption capacity o…
View article: Analytical study of functional outcome of extracapsular proximal femur fracture fixation by cephalomedullary nail system
Analytical study of functional outcome of extracapsular proximal femur fracture fixation by cephalomedullary nail system Open
Background: Intertrochanteric(IT) fracture is one of the most common fractures in adult population. Cephalo medullary nailing is a common surgical treatment for trochanter fracture. We studied trochanter fractures of the grown-ups in age g…
View article: Machine learning prediction of ammonia nitrogen adsorption on biochar with model evaluation and optimization
Machine learning prediction of ammonia nitrogen adsorption on biochar with model evaluation and optimization Open
In light of escalating nitrogen pollution in aquatic systems, this study presents a comprehensive machine learning (ML) approach to predict ammonia nitrogen adsorption capacity of biochar and identify optimal conditions. Twelve ML models, …
View article: Mathematical Model-Based Optimization of Trace Metal Dosage in Anaerobic Batch Bioreactors
Mathematical Model-Based Optimization of Trace Metal Dosage in Anaerobic Batch Bioreactors Open
Anaerobic digestion (AD) is a promising and yet a complex waste-to-energy technology. To optimize such a process, precise modeling is essential. Developing complex, mechanistically inspired AD models can result in an overwhelming number of…
View article: Machine learning-driven prediction of biochar adsorption capacity for effective removal of Congo red dye
Machine learning-driven prediction of biochar adsorption capacity for effective removal of Congo red dye Open
Congo red, a widely utilized dye in the textile industry, presents a significant threat to living organisms due to its carcinogenic properties and non-biodegradable nature. This study proposes a data-driven machine-learning approach to opt…
View article: Selected materials techniques for evaluation of attributes of sourdough bread with Kombucha SCOBY
Selected materials techniques for evaluation of attributes of sourdough bread with Kombucha SCOBY Open
There is a high demand for new techniques and applications, which are typically used in materials science for food product development. As a novel food example, sourdough bread (SDB) has been previously evaluated for its prolonged shelf li…
View article: Biodegradation of phenolic derivatives by Pseudomonas sp., at saline conditions
Biodegradation of phenolic derivatives by Pseudomonas sp., at saline conditions Open
Bacteria in saline matrices need to be studied for its scope in organic turnover, elemental recycling, and recovery of industrially important metabolites. The gained knowledge can be utilised for treatment of pollutants in saline wastewate…
View article: Predictive capability of rough set machine learning in tetracycline adsorption using biochar
Predictive capability of rough set machine learning in tetracycline adsorption using biochar Open
Machine learning algorithms investigate relationships in data to deliver useful outputs. However, past models required complete datasets as a prerequisite. In this study, rough set-based machine learning was applied using real-world incomp…
View article: Impact of blockchain technology adoption in farms of FPO members
Impact of blockchain technology adoption in farms of FPO members Open
BCT adoption remains to be a promising way to achieve food security and safety in many developing countries. This paper explores the impact of blockchain technology adoption on household farm income. Based on a simple random sampling metho…
View article: Pedogenesis and Soil Resources Investigation of Major Soil Series of Ramanathapuram District, Tamil Nadu, India
Pedogenesis and Soil Resources Investigation of Major Soil Series of Ramanathapuram District, Tamil Nadu, India Open
Detailed soil survey (DSS) was carried out in drought prone district of Ramanathapuram during April 2023 to find out the weathering pattern of the soil. Totally 4 soil profiles was excavated from Mandabam, Pudukudi, Paramakudi and Muthukul…
View article: Genetic Variability and Diversity for Yield and Yield Attributing Traits in M3 and M4 Generations of Butter Bean (Phaseolus lunatus L.)
Genetic Variability and Diversity for Yield and Yield Attributing Traits in M3 and M4 Generations of Butter Bean (Phaseolus lunatus L.) Open
Background: Butter beans (Phaselous lunatus L) belong to the family Leguminaceae, is one of the oldest cool season food legume crops. A throughout knowledge of existing genetic variation among yield and its yield component traits is essent…
View article: Standardization of Different Growing Environment Conditions for Button Rose
Standardization of Different Growing Environment Conditions for Button Rose Open
An investigation on Standardization of different growing environment conditions for button rose was carried out at Floriculture Research Station, Thovalai, Tamil Nadu during the year 2017-18 in randomized block design with five treatments …
View article: Optimal progressive classification study using SMOTE-SVM for stages of lung disease
Optimal progressive classification study using SMOTE-SVM for stages of lung disease Open
Data used in big data applications are typically kept in decentralized computing resources in the real world, which has an impact on the design of artificial intelligence algorithms. When there are significantly more observations from one …
View article: Mitigation of Interference using HH-NBC,TDMA and Sea-lionoptimization techniques in Underwater Sensor Networks
Mitigation of Interference using HH-NBC,TDMA and Sea-lionoptimization techniques in Underwater Sensor Networks Open
In order to better understand the vast aquatic environment, research on wireless sensor networks underwater has recently been done a lot of research in academia and industry. The Underwater world can easily observe remotely from an unknown…
View article: Biochar seeding properties affect struvite crystallization for soil application
Biochar seeding properties affect struvite crystallization for soil application Open
Struvite crystallization is a viable approach for recovering phosphorus from phosphorus-rich solutions such as urine and wastewater. However, designing seed materials to promote crystal growth and enhance the efficiency of struvite crystal…
View article: Influence of different containers and media on growth and flower yield of Dendrobium orchid cv. ‘Earsakul’
Influence of different containers and media on growth and flower yield of Dendrobium orchid cv. ‘Earsakul’ Open
The present investigation entitled “Standardization of different containers and media on growth and flower yield of Dendrobium orchid cv. ‘Earsakul’ under shade net conditions in Floriculture Research Station, Thovalai, Tamil Nadu. The stu…
View article: Integrated electrocoagulation-flotation of microalgae to produce Mg-laden microalgal biochar for seeding struvite crystallization
Integrated electrocoagulation-flotation of microalgae to produce Mg-laden microalgal biochar for seeding struvite crystallization Open
Developing sustainable materials for recovering and recycling nutrients from wastewater is critically needed for nutrients such as phosphorus that have a diminishing supply. Struvite crystallization is emerging as a promising strategy for …
View article: Peroxidase-Mimicking Activity of Biogenic Gold Nanoparticles Produced from <i>Prunus nepalensis</i> Fruit Extract: Characterizations and Application for the Detection of <i>Mycobacterium bovis</i>
Peroxidase-Mimicking Activity of Biogenic Gold Nanoparticles Produced from <i>Prunus nepalensis</i> Fruit Extract: Characterizations and Application for the Detection of <i>Mycobacterium bovis</i> Open
In the present study, a facile, eco-friendly, and controlled synthesis of gold nanoparticles (Au NPs) using Prunus nepalensis fruit extract is reported. The biogenically synthesized Au NPs possess ultra-active intrinsic peroxidase-like act…