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Article
An effective approach for predicting daily stock trading decisions using fuzzy inference systems
To achieve success in stock trading, the ability to forecast future market behavior is crucial. Many professional traders favor traditional technical indicators as their preferred price projection method. Howe...
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Article
An Exploration of the Fuzzy Inference System for the Daily Trading Decision and Its Performance Analysis Based on Fuzzy MCDM Methods
In the field of stock trading, forecasting the future stock price movement is an essential yet challenging area. Precise prediction of the stock market movement is warranted to have a deterministic return. In ...
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Article
Artificial Intelligence for Modelling the Wet Agglomeration Process of Fine Materials: A Survey
Industrial plants often report under-capacity production, primarily due to limited knowledge of the dynamics of underlying size enlargement process. Many researchers have used different techniques to capture t...
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Article
Investigation on Loss on Ignition to Study the Effect of Iron Ore Mineralogy in Green Pellet Growth Kinetics
This study corroborates that the iron ore mineralogy has significant effects on green pellet growth and its properties by both experimental and mathematical arguments. In this context, three iron ore samples w...
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Chapter and Conference Paper
Non-isolated Multilevel Zeta Converter for MLI Application
A new multilevel zeta converter which converts fixed DC voltage to multilevel DC output voltage is discussed in this paper. Proposed converter has stable voltage feedback capacity and produces high gain output...
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Chapter and Conference Paper
Analysis of Fuzzy DEMATEL Approach for Financial Ratio Performance Evaluation of NASDAQ Exchange
relative performance analysis and ranking of the financial ratios are highly important for optimal portfolio selection in the stock market. However, the financial relative performance evaluation of financ...
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Chapter
Power Quality Issues in Smart Grid/Microgrid
Microgrids and smart grids are emerging as the latest trending aspect in power industries. The smart grid integrates the technology dealing with Information and Communication in almost all aspects of power sys...
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Article
An Investigation into Pre-concentration of Low-Grade Silica-Rich Malanjkhand Copper Ore by Wilfley Table
Pre-concentration stages are generally employed to process base and precious metals where the feed grades are inferior. The pre-concentration could remove major gangue minerals and enrich the desired metal con...
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Article
Selective Flocculation of Chromite Tailings
Odisha state is the major reserve of the chromite ore. Due to the extensive applications, high-grade chromite ore is getting depleted day by day. Now it is a challenge for the industry to utilize these low-gra...
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Article
Analysis of the Influence of Blaine Numbers and Firing Temperature on Iron Ore Pellets Properties Using RSM-I-Optimal Design: An Approach Toward Suitability
Cold compressive strength (CCS) and apparent porosity (AP) of pellets are essential properties regarding the burden of blast furnaces. The optimal required values for industries are 2.5 KN CCS and 21% AP. Blai...
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Article
Thermodynamic Modelling of Effect of Flux on the Liquidus Temperatures and Phase transitions in Coal Ash
Plant shutdowns due to the accumulation of ash materials in the boilers is a commonly practiced problem in thermal power sectors. Cleaning of ash products at regular intervals need to be necessary for maintain...
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Article
Mineralogical Characterization and Gravity Separation of Lean Grade Mixed Copper Ore of Malanjkhand Deposit
An in-depth mineralogical characterization has been carried out to develop a suitable beneficiation process route for a low-grade copper ore. Characterization and preliminary gravity separation studies were un...
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Article
Effect of Using Carbon Nanotubes on ILSS of Glass Fiber-Reinforced Polymer Laminates
Carbon nanotubes have been considered as good filler materials for enhancing the characteristics of advanced nano-composites due to their excellent properties. In z-axis property, especially interlaminar shear...
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Article
Recovery of Ultra-Fine Iron Ore from Iron Ore Tailings
Many attempts has been taken for further utilisation of the tailings and slimes through different routes i.e. beneficiation, agglomeration etc. Though the slimes and tailings contain huge ultra fines, conventi...
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Article
A neural network-based approach for steady-state modelling and simulation of continuous balling process
Efficiency of plant operations rely heavily on the stable availability of green pellets of desired size and quality. However, agglomeration plant often operate under capacity because of the sensitivity of ball...
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Article
Comparative analysis of the effect of microwave pretreatment on the milling and liberation characteristics of mineral matters of different morphologies
This study was carried out to understand the impact of variation in material morphology on the efficacy of microwave pretreatment. Three different types of mineral matter — coal, iron ore and manganese ore — w...
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Article
Characterization and Pre-concentration of Low Grade PGE Ores of Boula Area, Odisha using Gravity Concentration Methods
Platinum group elements (PGEs) are scarce in nature and have very limited deposits of economic importance world over. The deposits have very low tenor and require pre-concentration to recover the PGE values. C...
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Article
Open AccessCoal washing scenario in India and future prospects
Coal Washing Exploration in India dates back to 1900s; though, first coking coal washeries in India were installed after independence. At present, most of the coking coal washeries are owned by Public Sector C...
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Article
Study of the effect of ultrasonic treatment on mineral materials of different morphologies
Coal, iron and manganese ore samples were exposed to different ultrasonic intensities of 250, 300 and 350 W/L for five minutes and to an ultrosonic intensity of 270 W/L for different time durations of 3, 5 and...
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Article
SVM-Based Predictive Modelling of Wet Pelletization Using Experimental and GA-Based Synthetic Data
A soft computing-based approach to capture the influence of process parameters on wet pelletization is presented. Wet pelletization is highly susceptible to even the minute change in operating conditions that ...
