Hydroponic systems integrated with Internet of Things (IoT) technology offer precise monitoring and control capabilities vital for optimizing plant growth. This research paper investigates the implementation of IoT in...
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automatic timetable generation is a complex optimization problem with practical applications in various domains such as education, healthcare, and event management. The challenge lies in efficiently scheduling activit...
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ISBN:
(纸本)9798350318609
automatic timetable generation is a complex optimization problem with practical applications in various domains such as education, healthcare, and event management. The challenge lies in efficiently scheduling activities while satisfying numerous constraints and objectives. In this study, we propose an OptiSchedule algorithm for automatic timetable generation. The algorithm employs a combination of heuristic search techniques and metaheuristic optimization methods to iteratively improve timetable solutions. It starts with initializing a timetable grid and iteratively refines the solution by generating neighbouring solutions and selecting the most promising ones based on an evaluation function. Through extensive testing and validation, our OptiSchedule algorithm demonstrates significant improvements in timetable quality and efficiency compared to existing approaches. The algorithm effectively minimizes conflicts, optimizes resource utilization, and balances workload distribution. Furthermore, it provides flexibility for users to input constraints and preferences, allowing customization to specific scheduling requirements. The OptiSchedule algorithm represents a significant advancement in the field of automatic timetable generation. Its ability to produce high-quality schedules while considering complex constraints makes it a valuable tool for educational institutions, healthcare facilities, and businesses alike. By streamlining scheduling processes and optimizing resource allocation, OptiSchedule contributes to improved operational efficiency and overall organizational performance. Through rigorous experimentation and evaluation, our study demonstrates the effectiveness of the OptiSchedule algorithm in improving timetable quality and reducing scheduling overhead. Compared to traditional methods, OptiSchedule generates timetables with fewer conflicts and better resource utilization, leading to enhanced productivity and satisfaction among stakeholders. Moreover, its fl
This paper gives an overview of challenges introduced due to the interconnection of distributed generators into the grid. It also discusses the control technique and scope of AI applications in the mitigation of power...
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Due to the complex structure and numerous electronic components, the reliability analysis of electronic systems has become more challenging. Therefore, we propose a reliability analysis method for electronic systems b...
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In this work, density functional theory (DFT) calculations were used to investigate the effect of graphene (G) and graphene oxide (GO) on the electronic properties of TiO2. Initially, a bandgap of 3.23 eV was determin...
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This work presents the study of the light emission and conduction mechanisms of PIN diodes using an amorphous silicon-carbide (a-Si1-xCx:H) thin film as active layer. The PIN structures were fabricated by the PECVD te...
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control theory is a field rich in opportunities and new directions dealing with an automatic decision process to improve a control system's output. This paper presents the stabilization of the pendulum in an uprig...
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Automated speech recognition (ASR) systems struggle with Bengali, which is the fifth most spoken language. Bengali has a varied morphology, many dialects, and limited high-quality annotated voice data. Traditional voi...
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This paper aims to explore various classification models and data processing techniques for classifying defects on steel plates. The study is based on a dataset of steel plates with seven different types of defects an...
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