the proceedings contain 17 papers. the topics discussed include: leveraging artificial intelligence and large language models for enhanced teaching and learning: a systematic literature review;code re-use recommendati...
ISBN:
(纸本)9798331539771
the proceedings contain 17 papers. the topics discussed include: leveraging artificial intelligence and large language models for enhanced teaching and learning: a systematic literature review;code re-use recommendation based on software requirements using natural language processing in python;e-government in Oman: trends and future perspectives;disruptive technology research pathway: term and keyword view;a taxonomy of factors that influence the multiple-cloud computing utilization;enhancing object detection for autonomous machines in private construction sites through federated learning;refining interaction design: a study on usability and user experience in X-Mech;and the application of machine learning in student performance prediction in higher education institutions: a systematic literature review.
the proceedings contain 13 papers. the topics discussed include: apply distributed CNN on genomics to accelerate transcription-factor TAL1 motif prediction;prediction of coke oven gas production with multivariable inp...
ISBN:
(纸本)9798350398878
the proceedings contain 13 papers. the topics discussed include: apply distributed CNN on genomics to accelerate transcription-factor TAL1 motif prediction;prediction of coke oven gas production with multivariable input based on LSTM neural network;identification of glass artifacts based on decision tree and k-means method;a systematic review of the promotion of accessible software development;development of photovoltaic building integrated auxiliary design platform based on BIM system;design of student employment guidance system based on decision classification algorithm;a design of a therapy session management system for children with special needs;research on electrified wire netting equipment quality evaluation system of power supply bureau based on big data analysis;practical application of computer technology in mechanical design manufacture and automation;and tabu hybrid genetic algorithm for glass deep processing production scheduling.
the transportation sector significantly contributes to global greenhouse gas emissions, particularly CO2. this research aims to develop a user-friendly web application that accurately predicts CO2 emissions of light-d...
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Code reuse is a pivotal practice in software development, promoting efficiency, reducing redundancy, and ensuring higher quality software products. Recommender systems play a crucial role in this process by suggesting...
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the time-sensitive Internet of things (IoT) applications within 5G and edge computing environments presents unique challenges in network resource management. Current systems struggle with efficiently managing the high...
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this paper first proposes a method for 3D curve rendering by modeling the appearance of a parametric curve as a uniform strip of point light emitters, whilst modeling each pixel on the observing screen as a receiver t...
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Breast cancer remains a leading cause of mortality worldwide, highlighting the need for early detection. this research demonstrates the potential of combining thermal imaging and deep learning for non-invasive, cost-e...
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this research paper explores the development and evaluation of a recommendation and search algorithm using OpenAI's embedding API and PineconeDB, focusing on creating an accessible, efficient, and scalable system ...
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this paper presents a novel programming approach for Arduino boards, utilizing tables within a spreadsheet environment. this method automatically generates over 80% of the code in a typical application, simplifying pr...
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ISBN:
(纸本)9798350385434;9798350385427
this paper presents a novel programming approach for Arduino boards, utilizing tables within a spreadsheet environment. this method automatically generates over 80% of the code in a typical application, simplifying programming, facilitating debugging and presenting an easier learning curve, especially for non-electronics and computer science engineers. WIDE supports defining analog and digital pins, logical variables, state description, state flow, printing, menu, Infrared communication, Bluetooth, RS485 communication, and storing variables in EEPROM using tables that are easy to fill, modify and troubleshoot. the automatically generated code is collected into one worksheet and then copied to the Arduino IDE for compilation and downloading. this method has been successfully applied to various projects, allowing more time to be spent on problem-solving rather than the mechanics of code writing.
this paper is a research review that delves into the realm of machine learning techniques for risk management, focusing on the intricate interplay between wireless networks and the burgeoning paradigm of smart cities....
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ISBN:
(纸本)9798350385434;9798350385427
this paper is a research review that delves into the realm of machine learning techniques for risk management, focusing on the intricate interplay between wireless networks and the burgeoning paradigm of smart cities. As the digital ecosystem continues to expand, encompassing diverse domains such as mobile networks, vehicular communication, and energy-efficient protocols, the need for robust risk management strategies has become increasingly imperative.
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