When a student chose a college, there are various factors that come into the picture. Students generally look for the outcome and, in this case, it is being placed. Every institution strives to have a strong Placement...
详细信息
The proceedings contain 1065 papers. The topics discussed include: Morse Code to text converter using Arduino;blink-an intelligent personal assistant for enhancing accessibility for differently-abled people;a novel cl...
ISBN:
(纸本)9798331300579
The proceedings contain 1065 papers. The topics discussed include: Morse Code to text converter using Arduino;blink-an intelligent personal assistant for enhancing accessibility for differently-abled people;a novel clustering and optimization strategy for network lifetime enhancement in wireless sensor network;an application of voice mail: email services for visually impaired;enhancing spam detection accuracy using genetic algorithm;design and implementation of modified bidirectional converter;farming tool leverage system and expert chat;smart mobility assistive device for paretic people;brain stroke prediction through MRI using deep learning techniques;effective hyper-parameter tuning of machinelearning model for analysis drinking water quality;touchless hand sanitizer dispenser - San Master;cyber hygiene in higher educational institutes;and submodule level configuration for PV System Performance Improvement under Partial Shading.
Online learning is different from offline learning in the classroom with supervision from the lecturer. Online learning using the learning Management System (LMS) media requires high awareness from students because th...
详细信息
The proceedings contain 93 papers. The topics discussed include: game design and learning effectiveness evaluation of English teaching based on reinforcement learning algorithm;research on automatic pricing and replen...
ISBN:
(纸本)9798350343922
The proceedings contain 93 papers. The topics discussed include: game design and learning effectiveness evaluation of English teaching based on reinforcement learning algorithm;research on automatic pricing and replenishment decision of vegetable products based on association model;research on the carbon asset management service model of power grid company;research on the influence of academic demands on depression of high school students based on machinelearning and principal component analysis;a comparative study between economic models and machinelearning models for bitcoin return volatility prediction;research on the design scheme construction of industrial big data platform based on enterprise portrait;examining the fuzzy control of the dynamic coupling compensating cold storage refrigeration system;and hybrid population intelligence and deep learning research for software defect prediction.
For the purpose of assisting farmers in making knowledgeable choices on crop management, this research suggests a crop recommendation system based on machinelearning algorithms. To assess soil data and suggest the op...
详细信息
The wide use of Internet brought many challenges were security has become a need to protect information and resources against attacks such as Man-in-the-Middle (MITM). This type of attack aims to eavesdrop a communica...
详细信息
Cervical cancer, accounting for 7.9% of cancers in women globally, is a critical health challenge, particularly due to its asymptomatic nature in early stages. This study proposes a machinelearning-driven framework t...
详细信息
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition that profoundly impacts social interactions, behavior, and communication in individuals. Accurate and timely detection of ASD is crucial for eff...
详细信息
The use of a wireless sensor network by multiple Internet of Things (IoT) devices results in a high volume of queries with similar attributes. To conserve limited resources such as communication and power, it's cr...
详细信息
ISBN:
(纸本)9798350333398
The use of a wireless sensor network by multiple Internet of Things (IoT) devices results in a high volume of queries with similar attributes. To conserve limited resources such as communication and power, it's crucial to minimize redundant queries. In this paper, we propose an effective strategy that decomposes queries into recognizable patterns, reducing the number of requests sent to sensors and reducing communication messages. One of the most relevant applications today is predicting temperature, pressure, and wind speed from data collected from IoT devices. By utilizing a Long-Short-Term-Memory (LSTM) model, we can decrease the number of messages sent to sensors and identify repetitive patterns to eliminate redundant requests. This approach significantly lowers energy consumption at the sensor level, thus extending their lifespan.
With the help of machinelearning, a winning Formula One (F1) race prediction model is what this project hopes to create. The model is trained using historical data from F1 races, such as lap times, sector times, qual...
详细信息
暂无评论