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Development and application of bio-waste-derived adsorbents for the removal of boron from groundwater
(
Elsevier
, 2022 , Article)
This study investigates the development and application of bio-waste-derived adsorbents for the removal of boron from groundwater. The boron removal from groundwater was explored by bio-waste-derived adsorbents such as ...
Synthesis of Porous BPPO-Based Anion Exchange Membranes for Acid Recovery via Diffusion Dialysis
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2022 , Article)
Diffusion dialysis (DD) is an anion exchange membrane-based functional separation process used for acid recovery. TMA (trimethylamine) and BPPO (brominated poly(2,6-dimethyl-1,4-phenylene oxide) were utilized in this ...
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges
(
IEEE
, 2022 , Article)
5G communication brings substantial improvements in the quality of service provided to various applications by achieving higher throughput and lower latency. However, interactive multimedia applications (e.g., ultra high ...
Integrated TOPSIS-COV approach for selecting a sustainable PET waste management technology: A case study in Qatar
(
Elsevier
, 2022 , Article)
In 2018, the global annual consumption of Polyethylene terephthalate (PET) bottles was approximately 27.64 million tons, with one million bottles sold worldwide every minute. Unmanaged PET bottles in the environment lead ...
Optimal design and operation of conventional, solar electric, and solar thermal district cooling systems
(
John Wiley and Sons Ltd
, 2022 , Article)
This research investigates the integration of solar energy with traditional cooling technologies using solar electric cooling systems. A holistic optimization process is introduced to enable the cost-effective design of ...
An Ontology Model for Medical Tourism Supply Chain Knowledge Representation
(
Science and Information Organization
, 2022 , Article)
This study developed an application ontology related to the medical tourism supply chain domain (MTSC). The motivation for developing an ontology is that current MTSC studies use a descriptive approach to provide knowledge, ...
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ...
Novel and robust machine learning approach for estimating the fouling factor in heat exchangers
(
Elsevier
, 2022 , Article)
The fouling factor (Rf) is an operating index for measuring an undesirable effect of solids’ deposition on
the heat transfer ability of heat exchangers. Accurate prediction of the fouling factor helps appropriate
scheduling ...
Deep Learning Assisted Automated Assessment of Thalassaemia from Haemoglobin Electrophoresis Images
(
MDPI
, 2022 , Article)
Haemoglobin (Hb) electrophoresis is a method of blood testing used to detect thalassaemia. However, the interpretation of the result of the electrophoresis test itself is a complex task. Expert haematologists, specifically ...
Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification Using Nerve Conduction Studies
(
Hindawi Limited
, 2022 , Article)
Background. Diabetic sensorimotor polyneuropathy (DSPN) is a major form of complication that arises in long-term diabetic patients. Even though the application of machine learning (ML) in disease diagnosis is very common ...