Audio compression formats reduce the file size before downloading and uploading on the Cloud and ... more Audio compression formats reduce the file size before downloading and uploading on the Cloud and social media platforms. An audio codec performs this operation. The uncompressed or lossless format can become lossless and lossy compressed files shrinking file size due to compression. Uncompressed file format change not only decreases the original size but also cuts the audio quality. The bit rate also drops. One assesses the quality of experience (QoE) of compressed audio file formats by comparing them to the original audios. One needs to conduct subjective QoE assessment experiments of both formats. This can be done by uploading a compressed file on the Cloud depending on its quality and sample rate to determine the satisfaction level of the end-user and which audio quality can be uploaded on the cloud, including other social media platforms.
In this paper, the face milling experiments were performed to investigate the cutting process of ... more In this paper, the face milling experiments were performed to investigate the cutting process of SiCp/Al (SiCp 65%) volume percentage and their effect on tool life and tool wear mechanism. The study was performed based on different cutting parameters (cutting speed vc, feed per tooth fz, and axial depth of cut ap, 1mm, and width of cut ae 8mm,) and cutting environments adopted as Dry MQL and CO2 Snow to analyze the effect of lubri-cooling machining process using polycrystalline diamond (PCD) cutting tools. A total of 18 experiments were performed during milling of SiCp/Al (65%) with each experimental run involved the 321 mm3 of the volume of material removal. The study found that lubrication and cooling can effectively reduce the tool wear and improve the tool life up to 29% for SiCp65% on moderate cutting parameters. The major wear mechanisms of PCD cutting tools are perceived as abrasive wear and adhesive wear mechanisms, which develop the flank wear and build-up-edge formations. ...
Current Medical Imaging Formerly Current Medical Imaging Reviews
: Digital well-being records are multimodal and high-dimensional (HD). Better theradiagnostics st... more : Digital well-being records are multimodal and high-dimensional (HD). Better theradiagnostics stem from new computationally thorough and edgy technologies, i.e., hyperspectral (HSI) imaging, super-resolution, and nanoimaging, but advance mess data portrayal and retrieval. A patient's state involves multiple signals, medical imaging (MI) modalities, clinical variables, dialogs between clinicians and patients, metadata, genome sequencing, and signals from wearables. Patients' high volume, personalized data amassed over time have advanced artificial intelligence (AI) models for higherprecision inferences, prognosis, and tracking. AI promises are undeniable, but with slow spreading and adoption, given partly unstable AI model performance after real-world use. The HD data is a ratelimiting factor for AI algorithms generalizing real-world scenarios. This paper studies many health data challenges to robust AI models' growth, aka the dimensionality curse (DC). This paper overviews DC in the MIs' context, tackles the negative out-of-sample influence and stresses important worries for algorithm designers. It is tricky to choose an AI platform and analyze hardships. Automating complex tasks requires more examination. Not all MI problems need automation via DL. AI developers spend most time refining algorithms, and quality data are crucial. Noisy and incomplete data limits AI, requiring time to handle control, integration, and analyses. AI demands data mixing skills absent in regular systems, requiring hardware/software speed and flexible storage. A partner or service can fulfill anomaly detection, predictive analysis, and ensemble modeling.
This paper presents a novel web-based crowdsourcing platform for the assessment of the subjective... more This paper presents a novel web-based crowdsourcing platform for the assessment of the subjective and objective quality of experience (QoE) of the video service in the cloud-server environment. The user has the option to enter subjective QoE data for video service by filling out a web questionnaire. The objective QoE data of the cloud-server, network condition, and the user device is automatically captured by the crowdsourcing platform. Our proposed system collects both objective and subjective QoE simultaneously in real-time. The paper presents the key technologies used in the development of the platform and describes the functional requirements and design ideas of the system in detail. The system collects real-time comprehensive data to enhance the quality of the user experience to provide a valuable reference. The system is tested in a real-time environment and the test results are given in terms of the system performance. The crowdsourcing platform has new features of real-time ...
Audio compression formats reduce the file size before downloading and uploading on the Cloud and ... more Audio compression formats reduce the file size before downloading and uploading on the Cloud and social media platforms. An audio codec performs this operation. The uncompressed or lossless format can become lossless and lossy compressed files shrinking file size due to compression. Uncompressed file format change not only decreases the original size but also cuts the audio quality. The bit rate also drops. One assesses the quality of experience (QoE) of compressed audio file formats by comparing them to the original audios. One needs to conduct subjective QoE assessment experiments of both formats. This can be done by uploading a compressed file on the Cloud depending on its quality and sample rate to determine the satisfaction level of the end-user and which audio quality can be uploaded on the cloud, including other social media platforms.
In this paper, the face milling experiments were performed to investigate the cutting process of ... more In this paper, the face milling experiments were performed to investigate the cutting process of SiCp/Al (SiCp 65%) volume percentage and their effect on tool life and tool wear mechanism. The study was performed based on different cutting parameters (cutting speed vc, feed per tooth fz, and axial depth of cut ap, 1mm, and width of cut ae 8mm,) and cutting environments adopted as Dry MQL and CO2 Snow to analyze the effect of lubri-cooling machining process using polycrystalline diamond (PCD) cutting tools. A total of 18 experiments were performed during milling of SiCp/Al (65%) with each experimental run involved the 321 mm3 of the volume of material removal. The study found that lubrication and cooling can effectively reduce the tool wear and improve the tool life up to 29% for SiCp65% on moderate cutting parameters. The major wear mechanisms of PCD cutting tools are perceived as abrasive wear and adhesive wear mechanisms, which develop the flank wear and build-up-edge formations. ...
Current Medical Imaging Formerly Current Medical Imaging Reviews
: Digital well-being records are multimodal and high-dimensional (HD). Better theradiagnostics st... more : Digital well-being records are multimodal and high-dimensional (HD). Better theradiagnostics stem from new computationally thorough and edgy technologies, i.e., hyperspectral (HSI) imaging, super-resolution, and nanoimaging, but advance mess data portrayal and retrieval. A patient's state involves multiple signals, medical imaging (MI) modalities, clinical variables, dialogs between clinicians and patients, metadata, genome sequencing, and signals from wearables. Patients' high volume, personalized data amassed over time have advanced artificial intelligence (AI) models for higherprecision inferences, prognosis, and tracking. AI promises are undeniable, but with slow spreading and adoption, given partly unstable AI model performance after real-world use. The HD data is a ratelimiting factor for AI algorithms generalizing real-world scenarios. This paper studies many health data challenges to robust AI models' growth, aka the dimensionality curse (DC). This paper overviews DC in the MIs' context, tackles the negative out-of-sample influence and stresses important worries for algorithm designers. It is tricky to choose an AI platform and analyze hardships. Automating complex tasks requires more examination. Not all MI problems need automation via DL. AI developers spend most time refining algorithms, and quality data are crucial. Noisy and incomplete data limits AI, requiring time to handle control, integration, and analyses. AI demands data mixing skills absent in regular systems, requiring hardware/software speed and flexible storage. A partner or service can fulfill anomaly detection, predictive analysis, and ensemble modeling.
This paper presents a novel web-based crowdsourcing platform for the assessment of the subjective... more This paper presents a novel web-based crowdsourcing platform for the assessment of the subjective and objective quality of experience (QoE) of the video service in the cloud-server environment. The user has the option to enter subjective QoE data for video service by filling out a web questionnaire. The objective QoE data of the cloud-server, network condition, and the user device is automatically captured by the crowdsourcing platform. Our proposed system collects both objective and subjective QoE simultaneously in real-time. The paper presents the key technologies used in the development of the platform and describes the functional requirements and design ideas of the system in detail. The system collects real-time comprehensive data to enhance the quality of the user experience to provide a valuable reference. The system is tested in a real-time environment and the test results are given in terms of the system performance. The crowdsourcing platform has new features of real-time ...
Volume 1 concentrates on UAS control and performance methodologies including Computer Vision and ... more Volume 1 concentrates on UAS control and performance methodologies including Computer Vision and Data Storage, Integrated Optical Flow for Detection and Avoidance Systems, Navigation and Intelligence, Modeling and Simulation, Multisensor Data Fusion, Vision in Micro-Aerial Vehicles (MAVs), Computer Vision in UAV using ROS, Security Aspects of UAV and Robot Operating System, Vision in Indoor and Outdoor Drones, Sensors and Computer Vision, and Small UAVP for Persistent Surveillance.
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