Internet of Things: IETF protocols, Algorithms and Applications

Kumar, M. Sunil; Prakash, K. Jyothi

doi:10.35940/ijitee.k2410.0981119

Cited by 17 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lower-level features which were decomposed from greater feature help with non -linear decision, learn complexity, extracting features, and categorization [24]. Additionally, DL models outperform machine learning algorithms like SVM when dealing with greater amounts of data and high computation, making them significantly more scalable [25][41] [39].…”

Section: Related Workmentioning

confidence: 99%

Malaria cell detection using deep learning techniques and Investigation on efficacy and safety of carcia papaya leaf extract on malaria

2022

pnr

View full text Add to dashboard Cite

Malaria is a serious fever infection caused by Plasmodium parasites, which individuals get by bites from female Anopheles mosquitoes carrying the disease. 50% of the world's population impacted by malaria in 2020. People with HIV/AIDS, pregnant women, young children under 5, infants, and those moving to areas where malaria transmission is higher but immunity is lower, such as travellers, mobile communities, and migrant workers, are more likely to contract malaria and develop serious illnesses. Despite these figures, an early, accurate diagnosis can lower the fatality rate from malaria. Numerous factors, including a severe lack of experienced specialists in village areas, improper information management, the use of fake medications, the accessibility of affordable diagnostic tools, global warming, and many others, contribute to the development in malaria and their unnatural geographic location. Malaria is a complicated, fast spreading infectious illness that has become difficult to manage due to the prevalence of its parasites. It is difficult to distinguish between blood smear microscopic images of parasite-and non-parasite-infected blood due to malaria. We have created an automated solution using deep learning methods to address this difficulty. Additionally, the effectiveness and safety of papaya leaf extract from Carica papaya on malaria were examined.

show abstract

Section: Related Workmentioning

confidence: 99%

Malaria cell detection using deep learning techniques and Investigation on efficacy and safety of carcia papaya leaf extract on malaria

2022

pnr

View full text Add to dashboard Cite

show abstract

“…The accuracy and precision rates for the suggested comparison were respectively 69 percent and 98.31%. The MNIST and CIFAR-10 databases employed the CNN algorithm [14] [48]. In these picture databases, they examined the algorithm's capacity to recognize and detect symbols.…”

Section: Literature Surveymentioning

confidence: 99%

Real time sign language detection system using deep learning techniques

2022

pnr

View full text Add to dashboard Cite

Humans require communication in order to survive. It is a fundamental and effective method for communicating thoughts, feelings, and points of view. A greater number of babies are being born with hearing abnormalities, which puts them at a communication disadvantage with the rest of the world, according to data on physically challenged children during the last decade. People who are deaf or hard of hearing typically use sign languages to communicate. Hand gestures are used by Deaf or Mute persons to communicate; as a result, non-Deaf people have a hard time understanding their messages. Systems that can detect different signs and provide information to common people are thus necessary. To address this issue, we have developed an automated sign language detection system using deep learning, which helps deaf/mute people can communicate with normal people.

show abstract

“…To avoid these difficulties, an intelligent contactless gateway control system to scan the temperature and to detect face mask was proposed which scan face mask and body temperature of every individual and allow to enter the gate. Proposed intelligent contactless gateway control system was designed by integrating raspberry pi and Arduino [11] [13]. In this system, scanners are directly connected to the passage to scan the body temperature and a camera is adjusted such that it can focused on to the face of person in the pathway.…”

Section: Introductionmentioning

confidence: 99%

CNN Based Pathway Control to Prevent Covid Spread Using Face Mask and Body Temperature Detection

2022

pnr

View full text Add to dashboard Cite

Airborne diseases cause detriment in the human life. Many were found in history such as TB, SARS, MERS and recently COVID 19. These diseases hit the dead rate and crushes health and wealth of the world population. Mostly, airborne diseases will spread rapidly in crowdy places. Especially, in case of COVID-19, Wearing mask and monitoring body temperature by individual is good solution to prevent rapid spread of the disease. So, keeping safety measures in monitoring face mask and body temperature is crucial in crowdy places such as Airports, railway stations, Bus Stations, malls, temples, etc. is obligatory. With a focus on emphasizing the health of the people we proposed integrated system that monitors body temperature and face mask of each individual and open/close pathway gate to allow after knee verification. Proposed Prototype uses Raspberry pi to monitor Face mask using CNN and Arduino to monitor body temperature and enable motor drivers to open or close the pathway Gate. Efficiency and loss of Proposed CNN model was trained and tested with multiple epoches.

show abstract

Internet of Things: IETF protocols, Algorithms and Applications

Cited by 17 publications

References 4 publications

Malaria cell detection using deep learning techniques and Investigation on efficacy and safety of carcia papaya leaf extract on malaria

Malaria cell detection using deep learning techniques and Investigation on efficacy and safety of carcia papaya leaf extract on malaria

Real time sign language detection system using deep learning techniques

CNN Based Pathway Control to Prevent Covid Spread Using Face Mask and Body Temperature Detection

Contact Info

Product

Resources

About