Search Results - "Ullah, Amin"
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1
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions
Published in IEEE transactions on intelligent transportation systems (01-07-2021)“…Advances in information and signal processing technologies have a significant impact on autonomous driving (AD), improving driving safety while minimizing the…”
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2
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation
Published in Remote sensing (Basel, Switzerland) (01-05-2020)“…The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis and prediction of cardiovascular diseases (CVDs). The ECG…”
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3
Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features
Published in IEEE access (01-01-2018)“…Recurrent neural network (RNN) and long short-term memory (LSTM) have achieved great success in processing sequential multimedia data and yielded the…”
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4
Research on sedimentation characteristics of squirmer in a power-law fluid
Published in The European physical journal. E, Soft matter and biological physics (15-10-2024)“…Sedimentation characteristics of a squirmer in a power-law fluid within a vertical channel are studied numerically using the two-dimensional lattice Boltzmann…”
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An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos
Published in Sensors (Basel, Switzerland) (16-04-2021)“…Video anomaly recognition in smart cities is an important computer vision task that plays a vital role in smart surveillance and public safety but is…”
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CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks
Published in Multimedia tools and applications (01-05-2021)“…In current technological era, surveillance systems generate an enormous volume of video data on a daily basis, making its analysis a difficult task for…”
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Human Behavior Understanding in Big Multimedia Data Using CNN based Facial Expression Recognition
Published in Mobile networks and applications (01-08-2020)“…Human behavior analysis from big multimedia data has become a trending research area with applications to various domains such as surveillance, medical,…”
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Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework
Published in Sensors (Basel, Switzerland) (04-03-2020)“…Due to industrialization and the rising demand for energy, global energy consumption has been rapidly increasing. Recent studies show that the biggest portion…”
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9
Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network
Published in Sensors (Basel, Switzerland) (30-05-2019)“…The worldwide utilization of surveillance cameras in smart cities has enabled researchers to analyze a gigantic volume of data to ensure automatic monitoring…”
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10
Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM
Published in IEEE transactions on industrial informatics (01-01-2020)“…The massive amount of video data produced by surveillance networks in industries instigate various challenges in exploring these videos for many applications,…”
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11
A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal
Published in Sensors (Basel, Switzerland) (01-02-2021)“…Electrocardiogram (ECG) signals play a vital role in diagnosing and monitoring patients suffering from various cardiovascular diseases (CVDs). This research…”
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12
A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images
Published in IEEE access (2021)“…In computer vision, traditional machine learning (TML) and deep learning (DL) methods have significantly contributed to the advancements of medical image…”
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13
Malicious UAV Detection Using Integrated Audio and Visual Features for Public Safety Applications
Published in Sensors (Basel, Switzerland) (15-07-2020)“…Unmanned aerial vehicles (UAVs) have become popular in surveillance, security, and remote monitoring. However, they also pose serious security threats to…”
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14
The role of proinflammatory cytokines and CXC chemokines (CXCL1-CXCL16) in the progression of prostate cancer: insights on their therapeutic management
Published in Cellular & molecular biology letters (14-05-2024)“…Reproductive cancers are malignancies that develop in the reproductive organs. One of the leading cancers affecting the male reproductive system on a global…”
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15
Towards Efficient Building Designing: Heating and Cooling Load Prediction via Multi-Output Model
Published in Sensors (Basel, Switzerland) (10-11-2020)“…In the current technological era, energy-efficient buildings have a significant research body due to increasing concerns about energy consumption and its…”
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16
Short-Term Prediction of Residential Power Energy Consumption via CNN and Multi-Layer Bi-Directional LSTM Networks
Published in IEEE access (2020)“…Excessive Power Consumption (PC) and demand for power is increasing on a daily basis, due to advancements in technology, the rise in electricity-dependent…”
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Pro-inflammatory cytokines and CXC chemokines as game-changer in age-associated prostate cancer and ovarian cancer: Insights from preclinical and clinical studies' outcomes
Published in Pharmacological research (01-06-2024)“…Prostate cancer (PC) and Ovarian cancer (OC) are two of the most common types of cancer that affect the reproductive systems of older men and women. These…”
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Enhancement of resilience and quality of cold supply chain under the disruptions caused by covid-19: A case of a developing country
Published in Australian journal of management (01-05-2023)“…Cold supply chain (CSC) comprises temperature-sensitive processes, starting from the supply of raw materials, manufacturing, and finally the delivery of…”
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Deep Learning Assisted Buildings Energy Consumption Profiling Using Smart Meter Data
Published in Sensors (Basel, Switzerland) (06-02-2020)“…The exponential growth in population and their overall reliance on the usage of electrical and electronic devices have increased the demand for energy…”
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20
Plant growth regulators and EDTA improve phytoremediation potential and antioxidant response of Dysphania ambrosioides (L.) Mosyakin & Clemants in a Cd-spiked soil
Published in Environmental science and pollution research international (01-08-2021)“…Soil pollution due to potentially toxic elements is a worldwide challenge for health and food security. Chelate-assisted phytoextraction along with the…”
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