Review Paper: Sarcasm Detection and Observing User Behavioral

Deshmukh, Pooja; Solanke, Sarika

doi:10.5120/ijca2017914119

Cited by 12 publications

(4 citation statements)

References 4 publications

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“…The flow methodology tackles hidden malpractices by binding strictly with RBS indicators, discouraging thumb rule experiences, and adhering to effective and reliable pathways. Traditional practices are useful when offline training is required to achieve a converged objective function to mostly tailoring instrumentation techniques and yet reducing the complexity imposed frequently when non-linear systems are taken into account [26], [27].…”

Section: B Smart Design and Packaging-an Iot Sensor Nodementioning

confidence: 99%

Laser Actuated Non-Invasive Smart Instrumentation - Enabling Lab-on-Chip

Azeemi¹,

Ahmed²,

Saquib³

2021

International Journal on Advanced Science, Engineering and Information Technology

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Non-invasive optical instrumentation provides non-destructive, reliable, and precise control in industrial process regulation, especially when chemical compounds or organic material surfaces are always a point of care. Nanomaterial dynamics intrinsically exhibit higher order of visual scanning complexities, associate wholly or partially to the poor scanning instrumentations. Additionally, growing trends in analytical instrumentation towards smart Lab-On-a-Chip (IoT sensing nodes) have shifted the emphasis on sensitivity and robustness tailoring Product Specific Environment (PSE). This work presents a hybrid laser actuated scanning mechanism, rastered back and forth 3-D imaging technique enabling Microscopy to its widest application in biological and material sciences and hence rose challenge of predicting large missing or incorrect data obtained during experiments. Our Confocal Self Calibrated Interferometry based fabricated Laser Sensor demonstrates its efficacy in non-invasive scanning microscopy to achieve a highresolution 3D topographical view, eventually an add-on to the analytical model of microorganisms and nanomaterial. In contrast to linear controllers, PI controllers demonstrate better stability in controlling the laser leakage at tip, which consists of two channel tube adjustments and successively in laser reflector lens, Photo Multiplier Tube (PMT), and Data Acquisition Unit (DAU). We expose our results for error propagation across various grid patterns over a 1mm 2 section, plotting the intensity of a key band or bands over the PMT grid. We observe that the instrumentation errors can be nullified by modeling the ergodicity of information flow along with the SLM instrumentation.

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Section: B Smart Design and Packaging-an Iot Sensor Nodementioning

confidence: 99%

Laser Actuated Non-Invasive Smart Instrumentation - Enabling Lab-on-Chip

Azeemi¹,

Ahmed²,

Saquib³

2021

International Journal on Advanced Science, Engineering and Information Technology

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“…Sarcasm could be defined as a negative notion expressed in positive words (Deshmukh & Solanke, 2017). In Season 3 -Episode 1, Octavia chooses Trigedasleng to convey sarcasm in her speech, a phenomenon that would normally take place in the native language of the speaker (Holmes, 2013).…”

Section: Sarcasmmentioning

confidence: 99%

English – Trigedasleng Code-Switching in the Cw Series “The 100”

Erazo

2020

REVPUCE

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The present article deals with the issue of establishing the characters' reasons or motivations for code-switching between English and the constructed language, Trigedasleng, in the American TV series “The 100”. To accomplish this objective, a sample of six episodes issued from seasons 2 and 3 of the series, have been analyzed using an observational approach. The qualitative analysis has considered the different situations, contexts. and functions where each linguistic code is used. The results revealed that the major causes for such alternation include affective and strategic functions in situational and conversational environments, where English and Trigedasleng are assigned a specific place. It has also been observed, however, that the screenplay allowed the characters, bilingual or not, to use both languages indistinctly to evidence the speakers' linguistic resourcefulness as well as to provoke different reactions in the TV audience as has been determined by the developer and screenwriters of the series.

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“…Deshmukh and Deshmukh (2015) presented the detection of leaf blight in rice. The proposed approach consists of three steps: image segmentation, feature extraction, and classification.…”

Section: Introductionmentioning

confidence: 99%

Reliable detection of blast disease in rice plant using optimized artificial neural network

Dubey,

Choubey

2023

Agronomy Journal

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Early Plant disease diagnosis is necessary for several purposes, including reducing yield losses, monitoring and predicting infections, detecting host resistance, and studying basic host‐pathogen biological processes. However early detection has been limited a trained workforce and the ability to identify the problem early in the growing season. Artificial intelligence / machine learning algorithms can help fill this gap. Automatic leaf detection using machine learning is proposed in this study. The presented approach of three stages namely, pre‐processing, feature extraction, and classification. Initially, the input image is transformed into the red, green, and blue format, and the noise in the green band is removed using a median filter. Then, important features of the green band are extracted. After feature extraction, the extracted features are fed to the Optimized Artificial Neural Network (OANN) classifier to classify an image as normal or diseased. To improve Artificial Neural Network (ANN) performance, the Artificial Neural Network (ANN) parameters are chosen optimally using the Adaptive Sunflower Optimization (ASFO) algorithm. Then, the infected region is separated using a level set segmentation algorithm. The efficiency of our work is analyzed based on accuracy, sensitivity, and specificity, the proposed method reached the maximum accuracy of 97.94% for plant disease prediction.This article is protected by copyright. All rights reserved

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Review Paper: Sarcasm Detection and Observing User Behavioral

Cited by 12 publications

References 4 publications

Laser Actuated Non-Invasive Smart Instrumentation - Enabling Lab-on-Chip

Laser Actuated Non-Invasive Smart Instrumentation - Enabling Lab-on-Chip

English – Trigedasleng Code-Switching in the Cw Series “The 100”

Reliable detection of blast disease in rice plant using optimized artificial neural network

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