Reports
List of reports
0 minute read
Tag: report
Report: Aquatic Animals Classification Using AI
Marine animals play an important role in the ecosystem. ‘Aquatic animals play an important role in nutrient cycles because they store a large proportion of ecosystem nutrients in their tissues, transport nutrients farther than other aquatic animals and excrete nutrients in dissolved forms that are readily available to primary producers’ (Vanni MJ 1) Fish images are captured by scuba divers, tourist, or underwater submarines. different angles of fishes image can be very difficult to get because of the constant movement of the fish. In addition to getting the right angles, the images of marine animals are usually low-quality because of the water. Underwater cameras that is required for a good quality image can be expensive. Using AI could potentially increase the marine population by the help of classification by testing the usage of machine learning using the images obtained from the aquarium combined with advanced technology. We collect 164 fish images data from Georgia acquarium to look at the different movements.
4 minute read
Review: Handwriting Recognition Using AI
This study reviews two approaches and/or machine learning tools used by researchers/developers to convert handwritten information into digital forms using Artificial Intelligence.
6 minute read
Report: AI in Orthodontics
In this effort we are analyzing X-ray images in AI and identifying cavitites
4 minute read
How Big Data has Affected Statistics in Baseball
The purpose of this report is to highlight how the inception of big data in baseball has changed the way baseball is played and how it affects the choices managers make before, during, and after a game. It was found that big data analytics can allow baseball teams to make more sound and intelligent decisions when making calls during games and signing contracts with free agent and rookie players. The significance of this project and what was found was that teams that adopt the moneyball mentality would be able to perform at much higher levels than before with a much lower budget than other teams. The main conclusion from the report was that the use of data analytics in baseball is a fairly new idea, but if implemented on a larger scale than only a couple of teams, it could greatly change the way baseball is played from a managerial standpoint.
10 minute read
Predictive Model For Pitches Thrown By Major League Baseball Pitchers
The topic of this review is how big data analysis is used in a predictive model for classifying what pitches are going to be thrown next. Baseball is a pitcher’s game, as they can control the tempo. Pitchers have to decide what type of pitch they want to throw to the batter based on how their statistics compare to that of the batters. They need to know what the batter struggles to hit against, and where in the strike zone they struggle the most. With the introduction of technology into sports, data scientists are sliding headfirst into Major League Baseball. And with the introduction of Statcast in 2015, The MLB has been looking at different ways to use technology in the game. In 2020 alone, the MLB introduce several different types of technologies to keep the fans engaged with the games while not being able to attend them [^3]. In this paper, we will be exploring a predictive model to determine pitches thrown by each pitcher in the MLB. We will be reviewing several predictive models to understand how this can be done with the use of big data.
9 minute read
Big Data Analytics in the National Basketball Association
The National Basketball Association and the deciding factors in understanding how the game should be played in terms of coaching styles, positions of players, and understanding the efficiencies of shooting certain shots is something that is prevalent in why analytics is used. Analytics is a topic space within basketball that has been growing and emerging as something that can make a big difference in the outcomes of gameplay. With the small analytic departments that have been incorporated within teams, results have already started coming in with the teams that use the analytics showing more advantages and dominance over opponents who don’t. We will analyze positions on the court of players and how big data and analytics can further take those positions and their game statistics and transform them into useful strategies against opponents.
18 minute read
Big Data in E-Commerce
The topic of my report is big data in e-commerce. E-commerce is a big part of todays society. During the shopping online, the recommend commodities are fitter and fitter for my liking and willingness to buy. This is the merit of big data. Big data use my purchase history and browsing history to analyze my liking and recommend the goods for me.
13 minute read
Change of Internet Capabilities Throughout the World
In 2050 the United Nations is projecting that 90% of the world will have access to the internet. With the recent pandemic and the shift to most things being online we see how desperate people need internet to be able to do everyday tasks. The internet is a valuable utility and more people are getting access to it every day. We also are seeing more data is being sent over the internet with more than 24,000 Gigabytes being uploaded and processed per second across the entire internet. In this report we look at the progression of the internet and how it has changed over the years.
25 minute read
Big Data Applications in the Gaming Industry
Gaming is one of the fastest growing aspects of the modern entertainment industry. It’s a rapidly evolving market, where trends can change in a near instant, meaning that companies need to be ready for near anything when making decisions that may impact development times, targets and milestones. Companies need to be able to see market trends as they happen, not post factum, which frequently means predicting things based off of freshly incoming data. Big data is also used for development of the games themselves, allowing for new experiences and capabilities. It’s a relatively new use for big data, but as AI capabilities in games are developed further this is becoming a very important method of providing more immersive experiences. Last use case that will be talked about, is monetization in games, as big data has also found a use there as well.
20 minute read
Big Data on Gesture Recognition and Machine Learning
Since our technology is more and more advanced as time goes by, traditional human-computer interaction has become increasingly difficult to meet people’s demands. In this digital era, people need faster and more efficient methods to obtain information and data. Traditional and single input and output devices are not fast and convenient enough, it also requires users to learn their own methods of use, which is extremely inefficient and completely a waste of time. Therefore, artificial intelligence comes out, and its rise has followed the changeover times, and it satisfied people’s needs. At the same time, gesture is one of the most important way for human to deliver information. It is simple, efficient, convenient, and universally acceptable. Therefore, gesture recognition has become an emerging field in intelligent human-computer interaction field, with great potential and future.
29 minute read
Big Data in the Healthcare Industry
Healthcare is an organized provision of medical practices provided to individuals or a community. Over centuries the application of innovative healthcare has been needed increasingly as humans expand their life span and become more aware of better preventative care practices. The application of Big Data within the industry of Healthcare is of the utmost importance in order to quantify the effects of wide scale efficient and safe solutions. Pharmaceutical and Bio Data Research companies can use big data to intake large facets of patient record data and use this collected data to iterate how preventative care can be implemented before diseases actually present themselves in stages that are beyond the point of potential recovery. Data collected in laboratory settings and statistics collected from medical and state institutions of healthcare facilitate time, money, and life saving initiatives as deep learning can in certain instances perform better than the average doctor at detecting malignant cells. Big data within healthcare has proven great results for the advancement and diverse application of informed reasoning towards medical solutions.
18 minute read
Music Mood Classification
Music analysis on an individual level is incredibly subjective. A particular song can leave polarizing impressions on the emotions of its listener. One person may find a sense of calm in a piece, while another feels energy. In this study we examine the audio and lyrical features of popular songs in order to find relationships in a song’s lyrics, audio features, and its valence. We take advantage of the audio data provided by Spotify for each song in their massive library, as well as lyrical data from popular music news and lyrics site, Genius.
18 minute read
How Big Data Can Eliminate Racial Bias and Structural Discrimination
Healthcare is utilizing Big Data to to assist in creating systems that can be used to detect health risks, implement preventative care, and provide an overall better experience for patients. However, there are fundmental issues that exist in the creation and implementation of these systems. Medical algorithms and efforts in precision medicine often neglect the structural inequalities that already exist for minorities accessing healthcare and therefore perpetuate bias in the healthcare industry. The author examines current applications of these concepts, how they are affecting minority communities in the United States, and discusses improvements in order to achieve more equitable care in the industry.
22 minute read
Big Data in Sports Game Predictions and How It is Used in Sports Gambling
Big data in sports is being used more and more as technology advances and this has a very big impact, especially when it comes to sports gambling. Sports gambling has been around for a while and it is gaining popularity with it being legalized in more places across the world. It is a very lucrative industry and the bookmakers use everything they can to make sure the overall odds are in their favor so they can reduce the risk of paying out to the betters and ensure a steady return. Sports statistics and data is more important than ever for bookmakers to come up with the odds they put out to the public. Odds are no longer just determined by expert analyzers for a specific sport. The compilation of odds uses a lot of historical data about team and player performance and looks at the most intricate details in order to ensure accuracy. Bookmakers spend a lot of money to employ the best statisticians and the best algorithms. There are also many companies that solely focus on sports data analysis, who often work with bookmakers around the world. On the other hand, big data for sports game analysis is also used by gamblers to gain a competitive edge. Many different algorithms have been created by researchers and gamblers to try to beat the bookmakers, some more successful than others. Oftentimes these not only involve examining sports data, but also analysing data from different bookmakers odds in order to determine the best bets to place. Overall, big data is very important in this field and this research paper aims to show the various techniques that are used by different stakeholders.
21 minute read
Review of Text-to-Voice Synthesis Technologies
The paper is about the most popular and most successful voice synthesis methods in the recent 5 years. Area of examples that would be explored in order to produce such a review paper would consist of both academic research papers and examples real world successful applications. For each specific example examined, its dataset, theory/model, training algorithms, and the purpose and use for that specific method/technology would be examined and reviewed. Overall, the paper will compare the similarities and differences between these methods and explore how big data enabled these new voice-synthesis technologies. And last, the changes these technologies will bring to our world in the future is discussed and both positive and negatives implications are explored in depth. This paper is meant to be informative to the both general audience and professionals about the how voice-synthesizing techniques has been transformed by big data, most important developments in the academic research of this field, and how these technologies are adopted to create innovation and value. But also to explain the logic and other technicalities behind these algorithms created by academia and applied to real world purposes. Codes and datasets of voices will be supplemented as for the purpose of demonstrations of these technologies in working.
16 minute read
Review of Text-to-Voice Synthesis Technologies
The paper is about the most popular and most successful voice synthesis methods in the recent 5 years. Area of examples that would be explored in order to produce such a review paper would consist of both academic research papers and examples real world successful applications. For each specific example examined, its dataset, theory/model, training algorithms, and the purpose and use for that specific method/technology would be examined and reviewed. Overall, the paper will compare the similarities and differences between these methods and explore how big data enabled these new voice-synthesis technologies. And last, the changes these technologies will bring to our world in the future is discussed and both positive and negatives implications are explored in depth. This paper is meant to be informative to the both general audience and professionals about the how voice-synthesizing techniques has been transformed by big data, most important developments in the academic research of this field, and how these technologies are adopted to create innovation and value. But also to explain the logic and other technicalities behind these algorithms created by academia and applied to real world purposes. Codes and datasets of voices will be supplemented as for the purpose of demonstrations of these technologies in working.
16 minute read
Project: Identifying Agricultural Weeds with CNN
Weed identification is an important component of agriculture, and can affect the way farmers utilize herbicide. When unable to locate weeds in a large field, farmers are forced to blanket utilize herbicide for weed control. However, this method is bad for the environment, as the herbicide can leech into the water, and bad for the farmer, because they then must pay for far more fertilizer than they really need to control weeds. This project utilizes images from the Aarhus University [^1] dataset to train a CNN to identify images of 12 species of plants. To better simulate actual rows of crops, a subset of the images for testing will be arranged in a list representing a crop row, with weeds being distributed in known locations. Then, the AI is tested on the row, and should be able to determine where in the row the weeds are located.
9 minute read