Modified Vogel’s approximation method for transportation problem under uncertain environment

Pratihar, Jayanta; Kumar, Ranjan; Edalatpanah, S. A.; Dey, Arindam

doi:10.1007/s40747-020-00153-4

Cited by 38 publications

(25 citation statements)

References 56 publications

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“…Here the quantization matrix of both the images are counted and extracted. This is also known as quantification matrix, basically it is nothing but a set of values that are used for representing the image [37].  Analyzing of Photo Response Non-Uniformity (PRNU): Photo Response Noise is an unique characteristic of every digital camera sensor.…”

Section: How Does Camera Fingerprinting Workmentioning

confidence: 99%

“…Both the images should be flat meaning the lighting condition for both the images should be the same. The photo acquired with the camera in question will have a value close to one and the photo acquired with the camera in question will have the value zero or even negative [37].  Adding Noise to Images: An image compression history can be used by a forensic investigator in order to determine whether the image has been modified, gain information on the camera from which the image was generated and also to know the regions that were forged [38].…”

Section: How Does Camera Fingerprinting Workmentioning

confidence: 99%

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Anti-Forensics: Countering Sensor Noise Camera Identification

Suvarna¹

2020

EPRA

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In simple terms, Anti-Forensics can be told as the techniques used to counter forensic analysis done by forensic investigators. This paper mainly focuses on some of the most used anti-forensics techniques along with the challenges the forensics investigator faces. There are many tools and techniques available that when used properly can be highly effective against the forensic analysis techniques. Various tools assist you against various anti-forensics techniques like Elimination of evidence source, Data hiding, and Trail obfuscation. These techniques are used mainly to make the investigation consume more time and money. Sensor Noise Camera Identification is a way to link a photo with the camera the photo was taken from using a noise signature that is unique for every camera. KEYWORDS: Anti-Forensics (AF), Forensic Analysis, Anti-Forensic Techniques, Sensor Noise Camera Identification

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Section: How Does Camera Fingerprinting Workmentioning

confidence: 99%

Section: How Does Camera Fingerprinting Workmentioning

confidence: 99%

Anti-Forensics: Countering Sensor Noise Camera Identification

Suvarna¹

2020

EPRA

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“…Therefore, the neutrosophic logic is more efficient than the fuzzy logic and interval-based analysis. Later on, several authors worked on neutrosophic logic for various real problems and showed its efficiency over fuzzy logic, see, for example 25 – 30 . The idea of neutrosophic statistics was given using the idea of neutrosophic logic 31 – 33 .…”

Section: Introductionmentioning

confidence: 99%

Testing average wind speed using sampling plan for Weibull distribution under indeterminacy

Aslam

2021

Sci Rep

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The time truncated plan for the Weibull distribution under the indeterminacy is presented. The plan parameters of the proposed plan are determined by fixing the indeterminacy parameter. The plan parameters are given for various values of indeterminacy parameters. From the results, it can be concluded that the values of sample size reduce as indeterminacy values increase. The application of the proposed plan is given using wind speed data. From the wind speed example, it is concluded that the proposed plan is helpful to test the average wind speed at smaller values of sample size as compared to existing sampling plan.

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“…In current era computer science is major subject. It has many real life applications such as cloud computing [1], artificial intelligence [2], remote monitoring [3], internet of things [4,5,6,7,8,9,10,11], SPP [12,13,14,15,16,17,18,19], TP [20,21,22], internet Security [23], uncertainty [24,25,26] and so on. Technology is the mode by which user can store, fetch, communicate and utilize the information.…”

Section: Introductionmentioning

confidence: 99%

Genre Prediction for Music Recommendation Using Machine Learning

Seth¹

2020

EPRA

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Music applications are one of the most used applications in the world. Consumers can hear the song they like but difficult for them to find songs from the vast number of songs list. The flow of this paper is to increase the efficiency of music recommendation in terms of the genre based on the decision-tree which helps the users to get the music according to their preferences. This model uses age and gender as an input set and genre as output. The model will predict the genre according to age and gender and the decision tree helps to reduce the complexity of the model.

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Modified Vogel’s approximation method for transportation problem under uncertain environment

Cited by 38 publications

References 56 publications

Anti-Forensics: Countering Sensor Noise Camera Identification

Anti-Forensics: Countering Sensor Noise Camera Identification

Testing average wind speed using sampling plan for Weibull distribution under indeterminacy

Genre Prediction for Music Recommendation Using Machine Learning

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