There is growing conviction that the future of computing depends on our ability to exploit big data theWeb enhance intelligent systems. This includes encyclopedic knowledge for factual details, common sense human-like reasoning and natural language generation smarter communication. With recent chatbots conceivably at verge passing Turing Test, there are calls more oriented alternatives, e.g., Winograd Schema Challenge. The Aristo QA system demonstrates lack in current systems answering...

Human-robot collaboration (HRC), where humans and robots work together to handle specific tasks, requires designing that can effectively support human beings. Robots need conduct reasoning using commonsense knowledge (CSK), e.g., fundamental possess use subconsciously, in order assist challenging dynamic environments. Currently, there are several effective CSK systems used for organizing information facts, along with detecting objects determining their properties. HRC is employed various...

An important goal in our world today is to eliminate food waste by reutilizing available sources within local communities: leftover items restaurants, stores and distribution centers that may be approaching expiration; any perishable not used entirety their desired period. This highly significant, particularly during crises such as the COVID-19 pandemic. paper focuses on creating an interesting mobile application (app) called SeVa provides a ubiquitous platform wherein users can visualize...

Structured knowledge is important for many AI applications. Commonsense knowledge, which crucial robust human-centric AI, covered by a small number of structured projects. However, they lack about human traits and behaviors conditioned on socio-cultural contexts, situative AI. This paper presents Candle, an end-to-end methodology extracting high-quality cultural commonsense (CCSK) at scale. Candle extracts CCSK assertions from huge web corpus organizes them into coherent clusters, 3 domains...

This paper proposes an approach in the area of Knowledge-Guided Machine Learning (KGML) via a novel integrated framework comprising CNN (Convolutional Neural Networks) and ViT (Vision Transformers) along with GIS (Geographic Information Systems) to enhance power plant classification context energy management. Knowledge from geoinformatics derived through Spatial Masks (SM) is infused into architecture ViT, this proposed KGML approach. It found provide much better performance compared...

Victory is the ultimate goal in any sport. In this work we address winning factors sport of One Day International (ODI) cricket. Winning an ODI cricket match depends on various related to scoring as well physical strength two teams. Some have been described literature but there scope for further research analyzing them, especially with reference predicting victory. Interesting include home game advantage, day/night effect, toss and batting first. article, used artificial intelligence...

This paper describes our work on mining pollutant data to assess air quality in urban areas. Notable aspects of this are that we mine social media and structured a domain-specific context, incorporate commonsense knowledge opinions focus the planning domain multicity environment. The results useful for predictive analysis urbanization. A significant contribution is provide information health impacts.

The advent of autonomous transportation systems is attracting attention in AI today. Despite how far this area has progressed, there are situations better handled by humans. One these distinguishing objects seen for the first time and making decisions accordingly. Hence, our focus paper on object detection, which can potentially enhance driving other types automation systems. This impacts Smart Mobility Cities. We provide expanded analysis recent detection techniques including neural models,...

Commonsense knowledge is a foundational cornerstone of artificial intelligence applications. Whereas information extraction and base construction for instance-oriented assertions, such as Brad Pitt's birth date, or Angelina Jolie's movie awards, has received much attention, commonsense on general concepts (politicians, bicycles, printers) activities (eating pizza, fixing only been tackled recently. In this tutorial we present state-of-the-art methodologies towards the compilation...

Recent advances in AI include a Law firm hiring robot lawyer and companies developing autonomous vehicles with drivers. Findings from our study have gauged the current cognitive capacity of such systems, indicating areas for improvement. We focus on vehicles, i.e., those that conduct automated driving need to make autonomous, independent decisions. propose an approach enabled commonsense knowledge (CSK) worldwide repositories simulate intuitive humanlike decision-making vehicles. consider...

Social media mining has proven useful in multiple research fields as a tool for public opinion extraction and analysis. Such can discover knowledge from unstructured data booming social sources that provide instant responses also capture long-term data. Environmental scientists have realized its potential conducted various studies where matters. We focus our discussion this article on text environmental issues, with particular emphasis sentiment analysis, fitting the theme of Data Science...

Time-stamped documents such as newswire articles, blog posts and other web-pages are often archived online. When these archives cover long spans of time, the terminology within them could undergo significant changes. Hence, when users pose queries pertaining to historical information, over documents, need be translated, taking into account temporal changes, provide accurate responses users. For example, a query on Sri Lanka should automatically retrieve with its former name Ceylon. We call...

This work focuses on the area of Smart Governance in Cities, which entails transparency government through public involvement. Specifically, it describes our research mining urban ordinances or local laws and reactions to them expressed social media site Twitter. We mine tweets related each other their mutual connection with City Characteristics (SCCs) conduct sentiment analysis relevant for analyzing opinions given region. helps assess how well that region heads towards a based (1) closely...

The novel coronavirus (Covid-19) has spread rapidly amongst countries all around the globe. Compared to rise in cases, there are few Covid-19 testing kits available. Due lack of for public, it is useful implement an automated AI-based E-health decision support system as a potential alternative method detection. As per medical examinations, symptoms could be somewhat analogous those pneumonia, though certainly not identical. Considering enormous number cases and complexity related images...

Robotics and artificial intelligence (AI) span the broad realm of mechatronics in general. Humans robots can collaborate with each other to enhance various tasks, e.g. vehicle industry. Facets AI such as commonsense knowledge play a significant role here. In this paper, we propose an approach for human-robot collaboration that it leverages develop models simulation assembly tasks real-world applications. We consider modeling based on relevant attributes, weight stability parts. The proposed...

The crossroads of sustainable development and data centers are examined due to the growing demand for electricity, increasing size carbon footprint worldwide. Free cooling involves using natural climate cool center as opposed more traditional method conventional systems such air-conditioning. In our research, we consider retrofitting a complex decision-making problem. Case based reasoning decision trees two widely used techniques in area support. We propose employ these framework assist...

Mobile devices have become an integral part of our daily lives. Most people carry smartphones today almost everywhere; and other mobile such as tablets, often more convenient than full-fledged laptops for work transit, short trips etc. This had led to development apps devices, easy download access anywhere anytime. An important field improving human experiences on is machine learning. constitutes technqiues involving acquisition knowledge, skills understanding by machines from examples,...

This paper proposes a sentiment analysis approach to extract sentiments of tweets based on their polarity and subjectivity, classify them visualize results graphically. helps understand opinions existing users that can be helpful in future recommendations. Our proposed entails hybrid learning method for classification Bayesian probabilistic sentence level models given partially labeled training data. For implementation, we use AWS data from Twitter, store extracted MySQL databases code...

This research focuses on mining ordinances (local laws) and public reactions to them expressed social media. We place particular emphasis tweets relating Smart City Characteristics (SCCs), since an important aim of our work is assess how well a given region heads towards City. rely SCCs as nexus between seemingly infinite number be able map them, also facilitate SCC-based opinion later for providing feedback urban agencies based reactions. Common sense knowledge harnessed in approach reflect...