Artificial intelligence-based detection and counting of olive fruit flies: A comprehensive survey

The emerging development in smart vehicles has improved transportation seamlessly. This paper deals with incorporating the modern technologies like Artificial Intelligence and Internet of Things(IoT) with the traditional transportation system. It states how AI algorithms can be integrated with IoT powered vehicles to manage and avoid crashing with idle vehicles on a speedway and assists for safer driving using the traffic symbol analysis to reduce accidents. Several communication standards for data transmission between the vehicle and control system has been stated. It also provides additional features like emergency or assistance for vehicles in speedway. It uses complex learning and analysis algorithms to improve the efficiency of driving and reduce rear-end collisions. This paper hence gives a comprehensive survey of the enabling technologies, protocols, and architecture for IoT powered transport.

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Insecticidal Activity of Citrus aurantium Fruit, Leaf, and Shoot Extracts Against Adult Olive Fruit Flies (Diptera: Tephritidae)

Journal of Economic Entomology ◽

10.1603/0022-0493(2007)100[1215:iaocaf]2.0.co;2 ◽

2007 ◽

Vol 100 (4) ◽

pp. 1215-1220 ◽

Cited By ~ 8

Author(s):

E. P. Siskos ◽

M. A. Konstantopoulou ◽

B. E. Mazomenos ◽

M. Jervis

Keyword(s):

Insecticidal Activity ◽

Fruit Flies ◽

Citrus Aurantium ◽

Olive Fruit

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Artificial intelligence (AI) methods in optical networks: A comprehensive survey

Optical Switching and Networking ◽

10.1016/j.osn.2017.12.006 ◽

2018 ◽

Vol 28 ◽

pp. 43-57 ◽

Cited By ~ 108

Author(s):

Javier Mata ◽

Ignacio de Miguel ◽

Ramón J. Durán ◽

Noemí Merayo ◽

Sandeep Kumar Singh ◽

...

Keyword(s):

Artificial Intelligence ◽

Optical Networks ◽

Comprehensive Survey

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Developing green insecticides to manage olive fruit flies? Ingestion toxicity of four essential oils in protein baits on Bactrocera oleae

Industrial Crops and Products ◽

10.1016/j.indcrop.2019.111884 ◽

2020 ◽

Vol 143 ◽

pp. 111884 ◽

Cited By ~ 8

Author(s):

Roberto Rizzo ◽

Gabriella Lo Verde ◽

Milko Sinacori ◽

Filippo Maggi ◽

Loredana Cappellacci ◽

...

Keyword(s):

Essential Oils ◽

Fruit Flies ◽

Bactrocera Oleae ◽

Olive Fruit

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A Comprehensive Survey of COVID-19 Detection Using Medical Images

10.31224/osf.io/9fdyp ◽

2020 ◽

Author(s):

Faisal Muhammad shah ◽

Sajib Kumar Saha Joy ◽

Farzad Ahmed ◽

Mayeesha Humaira ◽

Amit Saha Ami ◽

...

Keyword(s):

Artificial Intelligence ◽

Medical Images ◽

Future Research ◽

Research Directions ◽

X Ray ◽

Time Period ◽

Comprehensive Survey ◽

Future Research Directions ◽

The Cost ◽

Day By Day

The outbreak of the COVID-19 pandemic caused the death of a large number of people. Millions ofpeople are infected by this virus and are still getting infected day by day. As the cost and required time ofconventional RT-PCR tests to detect COVID-19, researchers are trying to use medical images like X-Ray andComputed Tomography (CT) images to detect it with the help of Artificial Intelligence (AI) based systems. Inthis paper, we reviewed some of these newly emerging AI-based models that can detect COVID-19 frommedical images using X-Ray or CT of lung images. We collected information about available research resourcesand inspected a total of 80 papers from the time period of February 21, 2020 to June 20, 2020. We explored andanalyzed datasets, preprocessing techniques, segmentation, feature extraction, classification and experimentalresults which can be helpful for finding future research directions in the domain of automatic diagnosis ofCovid-19 disease using Artificial Intelligence (AI) based frameworks.

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A Survey on the AI and Spectrum Management for Cache-Enabled Internet of Things in Smart Cities

Wireless Communications and Mobile Computing ◽

10.1155/2021/4477596 ◽

2021 ◽

Vol 2021 ◽

pp. 1-14

Author(s):

Liming Chen ◽

Xiaoyun Kuang ◽

Fusheng Zhu ◽

Lijia Lai ◽

David Fan

Keyword(s):

Artificial Intelligence ◽

Internet Of Things ◽

Smart Cities ◽

Spectrum Management ◽

Wireless Transmission ◽

Real Time Processing ◽

Comprehensive Survey ◽

Feasible Solutions ◽

Limited Spectrum ◽

New Applications

In this paper, we provide a comprehensive survey for the artificial intelligence and spectrum management, which are used for cache-enabled Internet of Things (IoT) in smart cities. In smart cities, there emerge a lot of new applications such as data collection and communication, environment monitoring, and real-time processing, which cannot be supported by the conventional wireless transmission techniques. Hence, some new wireless transmission techniques should be developed to support the emerging applications in smart cities. In this survey, we focus on the artificial intelligence, spectrum management, and caching techniques, where the interference arises due to the limited spectrum resources. In particular, we first review the current research status of these new techniques and, then, give some challenges on the system design. We further provide several feasible solutions on these challenges, in order to implement the IoT networks in smart cities. Finally, we conclude the work in the part of conclusions and give some discussions on the future works.

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Architecting for Artificial Intelligence with Emerging Nanotechnology

ACM Journal on Emerging Technologies in Computing Systems ◽

10.1145/3445977 ◽

2021 ◽

Vol 17 (3) ◽

pp. 1-33

Author(s):

Sourabh Kulkarni ◽

Sachin Bhat ◽

Csaba Andras Moritz

Keyword(s):

Artificial Intelligence ◽

Real World ◽

Computing Technology ◽

Von Neumann ◽

Physical Behavior ◽

Software Algorithms ◽

Transistor Circuits ◽

Challenges And Opportunities ◽

Comprehensive Survey

Artificial Intelligence is becoming ubiquitous in products and services that we use daily. Although the domain of AI has seen substantial improvements over recent years, its effectiveness is limited by the capabilities of current computing technology. Recently, there have been several architectural innovations for AI using emerging nanotechnology. These architectures implement mathematical computations of AI with circuits that utilize physical behavior of nanodevices purpose-built for such computations. This approach leads to a much greater efficiency vs. software algorithms running on von Neumann processors or CMOS architectures, which emulate the operations with transistor circuits. In this article, we provide a comprehensive survey of these architectural directions and categorize them based on their contributions. Furthermore, we discuss the potential offered by these directions with real-world examples. We also discuss major challenges and opportunities in this field.

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