Machine Intelligence for Research and Innovations
Proceedings of MAiTRI 2023, Volume 1
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98 Result(s)
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Article
Analysis of QoS aware traffic template in n78 band using proportional fair scheduling in 5G NR
Fifth generation new radio (5G NR) is bringing revolutions in almost every field such as healthcare, industrial automation, smart farming, and defense. These fields utilize three major use case scenarios of 5G...
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Experimental evaluation of MU-MIMO in TDD environment for 5G NR using exploiting channel reciprocity
5G New Radio (NR) operates in two frequency ranges viz. Frequency Range 1 (sub-6 GHz band) and Frequency Range 2 (millimeter wave communication). It utilizes Time Division Duplex (TDD) communication, allowing ...
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Article
Retraction Note: Adaptive artificial intelligence for automatic identification of defect in the angular contact bearing
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Article
Microscopic biopsy image reconstruction using inception block with denoising auto-encoder approach
The use of computer-aided image analysis for disease diagnosis and prognosis has dramatically increased during the past 10 years. The introduction of computer-assisted image analysis of images produced by equi...
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Article
A PSO-optimized novel PID neural network model for temperature control of jacketed CSTR: design, simulation, and a comparative study
This paper proposes a particle swarm optimization (PSO) tuned novel proportional integral derivative (PID) like neural network (PSO-PID-NN), to control the temperature of a nonlinear jacketed continuous stirre...
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Article
Design and application of a novel higher-order type-n fuzzy-logic-based system for controlling the steering angle of a vehicle: a soft computing approach
The majority of technological processes include dynamic systems, which are characterized by structural and parameter uncertainty. Conventional control procedures based on such models are unlikely to produce th...
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Article
Automated smart artificial intelligence-based proctoring system using deep learning
Since COVID-19, there have been significant advancements made in the area of online teaching and learning. To provide their pupils with more resources, academic institutions are going digital. Students now hav...
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Article
Design of a novel robust recurrent neural network for the identification of complex nonlinear dynamical systems
A novel fully connected recurrent neural network (FCRNN) structure is proposed for the identification of unknown dynamics of nonlinear systems. The proposed recurrent structure consists of internal feedback la...
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Chapter and Conference Paper
Mechanics of Novel Double-Rounded-V Hierarchical Auxetic Structure: Finite Element Analysis and Experiments Using Three-Dimensional Digital Image Correlation
Auxetic design is increasingly being used in applications that demand high strength-to-weight ratio. Auxetic structures are also used for crash safety and cushioning applications. Hierarchical auxetic structur...
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Chapter and Conference Paper
Feature Selection and Reduction for Analysis of Histopathology Images
Applications ranging from computer assisted diagnosis (CAD) to image categorization and retrieval are very much popular in the automatic analysis of microscopic images. The research community is increasingly m...
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Chapter and Conference Paper
Predictive Modeling for Marketing Strategies: A Case Study of a Superstore’s Gold Membership Offer Using Advanced Analytics and Machine Learning Techniques
The research article showcases an in-depth examination of a large retail superstore’s scenario, where they introduce a novel gold membership proposition. This initiative involves the strategic utilization of a...
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Chapter and Conference Paper
AI-Assisted Geopolymer Concrete Mix Design: A Step Towards Sustainable Construction
The increasing interest in the utilization of Geopolymer Concrete as one of the sustainable alternatives to traditional Portland cement has been driven by its potential to mitigate the carbon footprint and its...
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Book and Conference Proceedings
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Book and Conference Proceedings
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Article
A novel feed-through Elman neural network for predicting the compressive and flexural strengths of eco-friendly jarosite mixed concrete: design, simulation and a comparative study
In order to estimate the compressive and flexural strengths of environmentally friendly jarosite mixed concrete, an effective prediction model based on the modified Elman neural network (also known as feed-thr...
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Chapter and Conference Paper
Silicosis Detection Using Extended Transfer Learning Model
Silicosis is a prevalent and damaging occupational disease in India. The detection of silicosis on X-ray images heavily relies on the expertise of radiologists, resulting in delayed detection and diagnosis. To...
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Article
A recurrent neural network-based identification of complex nonlinear dynamical systems: a novel structure, stability analysis and a comparative study
For the purpose of identifying nonlinear dynamic systems, a compound recurrent feed-forward neural network based on the combination of feed-forward neural network (FFNN) and locally recurrent neural network is...
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Article
Double internal loop higher-order recurrent neural network-based adaptive control of the nonlinear dynamical system
Controlling complex nonlinear dynamical systems using traditional methods has always been a difficult task because the majority of systems seen in nature have intricate nonlinear mathematical relationships. Ar...
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Article
Data-driven gait model for bipedal locomotion over continuous changing speeds and inclines
Trajectory generation for biped robots is very complex due to the challenge posed by real-world uneven terrain. To address this complexity, this paper proposes a data-driven Gait model that can handle continuo...
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Article
Quantum Entanglement inspired Grey Wolf optimization algorithm and its application
Meta-heuristic optimization algorithms are becoming increasingly popular for their simplicity and efficiency. Grey wolf Optimizer (GWO) is one such effective algorithm that was proposed recently. It has been r...
