This research paper presents a bread mold identification system that utilizes digital image processing techniques, specifically K-means clustering and thresholding, to accurately detect and classify mold-infected area...
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This research study presents an algorithmic approach for the detection and identification of key components on license plates, including numerical digits, province codes, vehicle colors, and vehicle makes and types. T...
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Artificial intelligence (AI) refers to human-like intelligence exhibited by computers, robots, or other machines. In popular use, artificial intelligence refers to the ability of a computer or machine to mimic the abi...
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ISBN:
(纸本)9789819916238
Artificial intelligence (AI) refers to human-like intelligence exhibited by computers, robots, or other machines. In popular use, artificial intelligence refers to the ability of a computer or machine to mimic the ability of the human mind to learn from examples and experiences, recognize objects, understand and respond to language, make decisions, solve problems, and combine these and other abilities to perform functions that humans might perform. Artificial intelligence requires experience and data to smarten up the technology. The most important things in making artificial intelligence are learning, reasoning, and self-correction. At the learning stage, AI gives machines the ability to learn tasks without requiring a defined programming language. Then, the reasoning stage is the stage where the reason AI is applied in a technology. The self-correction stage is the stage where the AI is refining itself from and learning from experience in order to minimize errors or problems that exist. Then, this matter is concerned with the parking lot to be discussed. Parking can be interpreted as public facilities available in agencies or offices that serve to store vehicles. Vehicles entering the parking area become tens or even thousands, because it requires a parking system and management area. Such arrangements are capable of parking procedures and even other support systems such as adequate parking facilities and infrastructure, and another function is to create and develop parking systems in general to provide safety and comfort. The methodology obtained from this problem is checking the research model to check and find out the comparison of vehicle user’s Parking System Security between cars or motorcycles, as well as the usual parking lots visited. Then, we created a questionnaire. This study used questionnaires with the aim to get respondents’ results about the Parking Security System. Our sampling method is based on respondents aged 17–20 years. Questionnaires are su
From the year 2019, every aspect of our lives has been negatively impacted as a result of the spread of a deadly disease known as COVID-19, particularly the health and business domains. The primary goal of t...
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In this paper, we consider the problem of characterizing a robust global dependence between two brain regions where each region may contain several voxels or channels. This work is driven by experiments to investigate...
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Penghu Islands (Pescadores), Taiwan's outlying islands surrounded by the sea, boast rich fishing resources that attract many anglers. However, successful fishing requires more than just gear: it involves understan...
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ISBN:
(数字)9798331504120
ISBN:
(纸本)9798331504137
Penghu Islands (Pescadores), Taiwan's outlying islands surrounded by the sea, boast rich fishing resources that attract many anglers. However, successful fishing requires more than just gear: it involves understanding the varying fish species available in different locations, times, and climates, as well as adhering to relevant laws and regulations. To address these needs, this paper proposes an environmentally friendly fishing Android-based mobile device App specifically for the Penghu Islands. The proposed Android-based mobile device App aims to gather essential information, including local fishing regulations, aquatic safety tips, and important precautions. Its goal is to equip fishermen with the resources necessary to fish successfully and with peace of mind.
Ontology embeddings map classes, relations, and individuals in ontologies into Rn, and within Rn similarity between entities can be computed or new axioms inferred. For ontologies in the Description Logic EL++, severa...
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Suicide appears to have reached the highest public health importance, with social media like Twitter providing an infinite source of information that may help in the detection of ideation. This paper describes the dev...
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ISBN:
(数字)9798331533243
ISBN:
(纸本)9798331533250
Suicide appears to have reached the highest public health importance, with social media like Twitter providing an infinite source of information that may help in the detection of ideation. This paper describes the development of an effective machine learning-based model for the classification of suicidal ideation in tweets using sentiment analysis. An assembly was done with a dataset of 9,120 tweets; they were labelled according to the suicidal thoughts expressed in them. We presented the assembly and preprocessing of a dataset consisting of 9,120 tweets designated based on indicative or non-indicative suicidal thoughts. The preprocessing steps consisted of normalization, tokenization, stop word removal, and lemmatization. Five ML models, namely Support Vector Machine (SVM), Multinomial Naive Bayes (MNB), Random Forest (RF), Stochastic Gradient Descent (SGD), and Logistic Regression (LR), were further trained on the selected dataset. The models are tested for standard classification metrics: accuracy, precision, recall, F1-Score, and AUC. The best performance for the model was Random Forest with 95.135% and an F1-Score of 95.094%. In conclusion, our study established that an amalgamation of sentiment analysis in ML models can have the potential to detect early suicidal tendencies and that it lays a platform for timely interventions. Future research should be focused on making the dataset even larger and enhancing the detection of sarcasm and jokes in the models.
This research aims to study the working principles of IOT devices or Internet of Things in order to promote the use of information technology systems, both hardware and software, with visually impaired people. rehabil...
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Melanoma is a malignant form of cancer that affects the skin and has a particularly high mortality rate, so it requires early detection to increase the level of safety for users. Diagnosis and detection of skin cancer...
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