Enabling Trustworthiness in Artificial Intelligence - A Detailed Discussion

2019

Am. j. trade policy

Internet is the world's network of connected computer networks. Internet means an interconnected network. It is a network of connected web servers. Internet helps data and people across the globe. Internet of things refers to network-connected things with embedded computer chips. Things on the internet would include devices enabled for internet access. IoT association of images on content management websites with unique watermark signature to account for Royal to the owner of the picture will help against piracy, copyright infringement, and misuse of photos registered with unique identification keys. This will make content management easier. It will generate revenue for the person who takes the copyrighted picture. A watermark is an embedded signature in a thing. It could be embedded in a video, image, and other file types for distinction and marking for ownership. It could be visible or invisible. It also provides a means to trace a product to the owner. This work looks into how images with watermark can be connected to the IoT for tracking and fighting piracy.

Section: Types Of Watermarksmentioning

confidence: 99%

Image Association to URLs across CMS Websites with Unique Watermark Signatures to Identify Who Owns the Camera

2019

Am. j. trade policy

“…User-friendly Mobile: This has been highlighted as one of the important factors that will sustain traffic for you your website and influence users decision to visit such again. Mobileaccommodating destinations guarantee an improved client experience by receiving a responsive plan that adjusts the content, so it shows up generally excellent on each screen size (Vadlamudi, 2015). This is because a larger number of searches are led on cell phones than work areas.…”

Section: Ranking Factors: What Matters For Seomentioning

confidence: 99%

Friendly URLs in the CMS and Power of Global Ranking with Crawlers with Added Security

2017

Eng. int. (Dhaka)

The web space has the capacity for constant evolution in a dynamic world like ours; hence keeping up to date with the amounts of data that keeps trickling into its space per second requires an apt introspection of the fundamental tool designed for such task. The URL is saddled with the duty to safe keep most of the informational resources. So a functional and reliable one always gives users reasons to bookmark and return to it on a future date. This very writes up gave an in-depth definition of what a URL entails and the appropriate way of using it, which we argued should be: precise, comprehensive, explicit, impressionable, and long-lasting. The relevance of this fine internet tool was also explained in much detail, ranging from its ability to enhance user's experience, facilitate good ranking for the web owner, and ensure smooth linking, which others would give a favorable rating. Conclusively, the importance of a URL is that it enables the SEO and other websites linking to your site and your visitors to appreciate the fact that you care for their informational needs and have taken it upon yourself to provide a very dependable platform to provide solutions.

“…However, when dealing with machine learning (ML), classically, we utilizing cluster samples and statistical models into any of the so-called qualitative feelings such as happiness, anger, sadness among others. For one to categorize and group easily any of the talk about feelings, one has to pattern those employing characteristics isolated from the speech; this is achieved by means by digging out diverse classes of voice quality, prosody, and spectral structures (Vadlamudi, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Speech Emotion Recognition Using Deep Learning Techniques

2016

ABC j. adv. res.

The developments in neural systems and the high demand requirement for exact and close actual Speech Emotion Recognition in human-computer interfaces mark it compulsory to liken existing methods and datasets in speech emotion detection to accomplish practicable clarifications and a securer comprehension of this unrestricted issue. The present investigation assessed deep learning methods for speech emotion detection with accessible datasets, tracked by predictable machine learning methods for SER. Finally, we present-day a multi-aspect assessment between concrete neural network methods in SER. The objective of this investigation is to deliver a review of the area of distinct SER.