Skin cancer, particularly melanoma, is a severe public health concern that requires improved early diagnosis to enhance treatment results. Existing systems depend on manual assessment and limited imaging, which leads ...
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The proceedings contain 289 papers. The topics discussed include: employing multifaceted bioinformatics strategies for the discovery of novel ASK1 inhibitors targeting neurodegenerative disorders;sailfish optimizer al...
ISBN:
(纸本)9798350359688
The proceedings contain 289 papers. The topics discussed include: employing multifaceted bioinformatics strategies for the discovery of novel ASK1 inhibitors targeting neurodegenerative disorders;sailfish optimizer algorithm for effective toxic gas detection sensor placement in IioT;a comprehensive study on satellite-based data communication for big earth observation systems;APIs insight for phenotype classification and hive health forecasting using IoT and deep learning;the future of teaching: exploring the integration of machinelearning in higher education;person recognition using ear images based on fractional gannet sparrow optimization enabled deep learning;restaurant recommendation system using machinelearning algorithms;and AI-driven remote Parkinson's diagnosis with BPNN framework and cloud-based data security.
Dry Ports (DPs) are essential inland terminals that cover a variety of goods and are strategically established in several countries. According to the general structure of DPs across various countries, they play a majo...
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Dry Ports (DPs) are essential inland terminals that cover a variety of goods and are strategically established in several countries. According to the general structure of DPs across various countries, they play a major role in the field of multimodal transportation. Considering that some countries have wide beaches, they can earn non-oil income by using these beaches. Therefore, in this study, we are looking at the design of the Logistics Network (LN) for Dry Port-Seaports (DPSs), with an emphasis on multimodal transportation systems, by predicting demand utilizing a machinelearning (ML) algorithm named Seasonal Autoregressive Integrated Moving Average (SARIMA). The mathematical model of this study includes three Objective Functions (OFs) (e.g., minimization of cost and environmental impact, and maximization of job opportunity and resilience). This work offers a mixed-integer programming model for setting up a viable LN by the Industry 5.0 (I5.0) dimension. Moreover, the Lp-metric, Goal Programming (GP), and Meta-GP (MGP) approaches are used to solve the developed model. Eventually, several quantitative illustrations are employed to evaluate the mentioned solution approach.
The Handwritten digit recognition issue in pattern recognition systems is one of the more significant technical issues. Applications for digit recognition include data entry forms, bank check processing, postal mail s...
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The branch of OCR (Optical Character Recognition) face many challenges such as extracting text from images. These challenges are most prominent due to varied nature of images in terms of size, letter style, orientatio...
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This research paper introduces a novel approach that leverages machinelearning and natural language processing (NLP) techniques to detect emotions in text. The proposed system includes a Google Chrome extension that ...
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With time, illnesses pertaining to the heart and liver are getting more and more common. These will only rise in the future due to ongoing technological improvements. The issue will persist despite the fact that indiv...
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This paper offers a strong and imperceptible audio watermarking system leveraging frequency-time domain capabilities and machinelearning to know classifiers to embed and extract text-based total watermarks. The model...
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Rapid advancements in machinelearning techniques have opened new avenues for innovative healthcare strategies, particularly in disease prediction. The healthcare sector confronts escalating challenges due to the surg...
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Next-word prediction is a fundamental task in natural language processing (NLP) with various applications in intelligent text completion, voice assistants, and human-computer interaction. Most statistical model-based ...
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