Springer publication -Q1 journal

I am thrilled to share the exciting news that my paper has been selected for publication in Heritage Science. The paper, titled "Comparative study: enhancing legibility of ancient Indian script images from diverse stone background structures using 34 different pre-processing methods ," explores automation of ancient script. I am grateful for the opportunity to contribute to the field and engage with the heritage science community. The article is now available online, and you can access it via the following link: https://rdcu.be/dy8WF DOI link: https://lnkd.in/d_7BdCBY The impact factor of HERITAGE SCIENCE is 2.843. The HERITAGE SCIENCE is a reputed research journal. It is published by Springer Science + Business Media. The journal is indexed in Scopus. #springer #heritagepreservation #annauniversity #scopusindexed #nature #researchpaper #imageprocessing #impact

Topic 5: Agent Types

 Agent Types : 

• Table-driven agent
• Simple reflex agent
• Reflex agent with internal state
• Agent with explicit goals
• Utility-based agent

Simple Reflex Agents: Reacting Swiftly to the Present

Model-Based Agents: Planning for the Future

Goal-Based Agents: Working Towards Objectives

Utility-Based Agents: Balancing Preferences and Trade-offs

Learning Agents: Adapting and Improving Over Time

(1) Table-driven agents 

use a percept sequence/action table in memory to find the next action. They are implemented by a (large) lookup table. 

(2) Simple reflex agents 

are based on condition-action rules, implemented with an appropriate production system. They are stateless devices which do not have memory of past world states. 

(3) Agents with memory - Model-based reflex agents

have internal state, which is used to keep track of past states of the world. 

(4) Agents with goals – Goal-based agents

are agents that, in addition to state information, have goal information that describes desirable situations. Agents of this kind take future events into consideration. 

(5) Utility-based agents 

base their decisions on classic axiomatic utility theory in order to act rationally. 

(6) Learning  agents 

they have the ability to improve performance through learning.

I) --- Table-lookup driven agents

Uses a percept sequence / action table in memory to 

find the next action. Implemented as a (large) lookup table. 

Drawbacks:

 Huge table (often simply too large)

 Takes a long time to build/learn the table

Topic 4: Environment Types

 

Topic 3: PEAS

 

Topic 2: Intelligent agent

 

Human agent: 

eyes, ears, and other organs for sensors; 

hands, legs, mouth, and other body parts for actuators

Robotic agent:

cameras and infrared range finders for sensors 

various motors for actuators

Topic 1: Artificial Intelligence and Application

Artificial Intelligence (AI) is machine-displayed intelligence that simulates human behavior or thinking and can be trained to solve specific problems. AI is a combination of Machine Learning techniques and Deep Learning. Types of Artificial Intelligence models are trained using vast volumes of data and have the ability to make intelligent decisions.

AI Application in E-Commerce: create recommendation engines through which you can engage better with your customers. browsing history, preference, and interests.  It helps in improving your relationship with your customers and their loyalty towards your brand.

Techniques:

Virtual shopping assistants

 chatbots

 Natural Language Processing 

Issue :

Credit card frauds and

fake reviews are two of

the most significant issues

that E-Commerce  companies

Applications Of Artificial Intelligence in Education: Administrative Tasks Automated to Aid Educators

Creating Smart Content, Voice Assistants

Applications of Artificial Intelligence in Lifestyle: Automobile manufacturing companies like Toyota, Audi, Volvo, and Tesla use machine learning to train computers to think and evolve like humans when it comes to driving in any environment and object detection to avoid accidents.

Spam Filters: The email that we use in our day-to-day lives has AI that filters out spam emails sending them to spam or trash folders, letting us see the filtered content only. The popular email provider, Gmail, has managed to reach a filtration capacity of approximately 99.9%.

Facial Recognition: Our favorite devices like our phones, laptops, and PCs use facial recognition techniques by using face filters to detect and identify in order to provide secure access. Apart from personal usage, facial recognition is a widely used Artificial Intelligence application even in high security-related areas in several industries.

Recommendation System: Various platforms that we use in our daily lives like e-commerce, entertainment websites, social media, video sharing platforms, like youtube, etc., all use the recommendation system to get user data and provide customized recommendations to users to increase engagement. This is a very widely used Artificial Intelligence application in almost all industries.

Applications of Artificial Intelligence in Navigation:  Based on research from MIT, GPS technology can provide users with accurate, timely, and detailed information to improve safety. The technology uses a combination of Convolutional Neural Networks and Graph Neural Networks, which makes lives easier for users by automatically detecting the number of lanes and road types behind obstructions on the roads. AI is heavily used by Uber and many logistics companies to improve operational efficiency, analyze road traffic, and optimize routes.

Applications of Artificial Intelligence in Robotics: Robotics is another field where Artificial Intelligence applications are commonly used. Robots powered by AI use real-time updates to sense obstacles in its path and pre-plan its journey instantly. 

It can be used for:

Carrying goods in hospitals, factories, and warehouses

Cleaning offices and large equipment

Inventory management

Applications of Artificial Intelligence in Human Resource: Artificial Intelligence helps with blind hiring. Using machine learning software, you can examine applications based on specific parameters. AI drive systems can scan job candidates' profiles, and resumes to provide recruiters an understanding of the talent pool they must choose from.

Applications of Artificial Intelligence in Healthcare: Artificial Intelligence finds diverse applications in the healthcare sector. AI applications are used in healthcare to build sophisticated machines that can detect diseases and identify cancer cells. Artificial Intelligence can help analyze chronic conditions with lab and other medical data to ensure early diagnosis. AI uses the combination of historical data and medical intelligence for the discovery of new drugs.

Applications of Artificial Intelligence in Agriculture: Artificial Intelligence is used to identify defects and nutrient deficiencies in the soil. This is done using computer vision, robotics, and machine learning applications, AI can analyze where weeds are growing. AI bots can help to harvest crops at a higher volume and faster pace than human laborers.

Applications of Artificial Intelligence in Gaming: Another sector where Artificial Intelligence applications have found prominence is the gaming sector. AI can be used to create smart, human-like NPCs to interact with the players.

It can also be used to predict human behavior using which game design and testing can be improved. The Alien Isolation game released in 2014 uses AI to stalk the player throughout the game. The game uses two Artificial Intelligence systems - ‘Director AI’ that frequently knows your location and the ‘Alien AI,’ driven by sensors and behaviors that continuously hunt the player.

Applications of Artificial Intelligence in Social Media: 

Applications of Artificial Intelligence in Finance: It has been reported that 80% of banks recognize the benefits that AI can provide. Whether it’s personal finance, corporate finance, or consumer finance, the highly evolved technology that is offered through AI can help to significantly improve a wide range of financial services. For example, customers looking for help regarding wealth management solutions can easily get the information they need through SMS text messaging or online chat, all AI-powered. Artificial Intelligence can also detect changes in transaction patterns and other potential red flags that can signify fraud, which humans can easily miss, and thus saving businesses and individuals from significant loss. Aside from fraud detection and task automation, AI can also better predict and assess loan risks.

AI in Astronomy: Astronomy, on the other hand, is a largely unexplored topic that is just as intriguing and thrilling as the rest. When it comes to astronomy, one of the most difficult problems is analyzing the data. As a result, astronomers are turning to machine learning and Artificial Intelligence (AI) to create new tools. Having said that, consider how Artificial Intelligence has altered astronomy and is meeting the demands of astronomers

AI in Data Security: Data security, which is one of the most important assets of any tech-oriented firm, is one of the most prevalent and critical applications of AI. With confidential data ranging from consumer data (such as credit card information) to organizational secrets kept online, data security is vital for any institution to satisfy both legal and operational duties. This work is now as difficult as it is vital, and many businesses deploy AI-based security solutions to keep their data out of the wrong hands.

AI in Travel and Transport