Blar i HVL Open på forfatter "Ahmed, Usman"
-
Attention-Based Deep Entropy Active Learning Using Lexical Algorithm for Mental Health Treatment
Ahmed, Usman; Mukhiya, Suresh Kumar; Srivastava, Gautam; Lamo, Yngve; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)With the increasing prevalence of Internet usage, Internet-Delivered Psychological Treatment (IDPT) has become a valuable tool to develop improved treatments of mental disorders. IDPT becomes complicated and labor intensive ... -
cHybriDroid: A Machine Learning-Based Hybrid Technique for Securing the Edge Computing
Maryam, Afifa; Ahmed, Usman; Aleem, Muhammad; Lin, Jerry Chun-Wei; Muhammad Arshad, Islam; Iqbal, Muhammad Azhar (Journal article; Peer reviewed, 2020)Smart phones are an integral component of the mobile edge computing (MEC) framework. Securing the data stored on mobile devices is very crucial for ensuring the smooth operations of cloud services. A growing number of ... -
Deep-Attention Model to Analyze Reliable Customers via Federated Learning
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2021)In this research, we propose a collaborative clustering method where the exchange of raw data is not required. The attention-based model is used with a federated learning framework. The edge devices compute the model updates ... -
EANDC: An explainable attention network based deep adaptive clustering model for mental health treatments
Ahmed, Usman; Srivastava, Gautam; Yun, Unil; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)Internet-delivered Psychological Treatment (IDPT) has been shown to be an effective method for improving psychological disorders. Natural language processing (NLP) requires an appropriate set of linguistic features for ... -
Generative Ensemble Learning for Mitigating Adversarial Malware Detection in IoT
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2021)This paper proposes a framework that can be employed to mitigate adversarial evasion attacks on Android malware classifiers. It extracts multiple discriminating feature subsets from a single Android app such that each ... -
Hyper-graph-based attention curriculum learning using a lexical algorithm for mental health
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)In this paper, we propose a structure hypergraph and an emotional lexicon for word representation. Our method can solve problems related to vocabulary size, grammatical representation of words, and the lack of an emotional ... -
Incrementally updating the high average-utility patterns with pre-large concept
Lin, Jerry Chun-Wei; Pirouz, Matin; Djenouri, Youcef; Cheng, Chien-Fu; Ahmed, Usman (Peer reviewed; Journal article, 2020)High-utility itemset mining (HUIM) is considered as an emerging approach to detect the high-utility patterns from databases. Most existing algorithms of HUIM only consider the itemset utility regardless of the length. This ... -
Linguistic frequent pattern mining using a compressed structure
Lin, Jerry Chun-Wei; Ahmed, Usman; Srivastava, Gautam; Wu, Jimmy Ming-Tai; Hong, Tzung-Pei; Djenouri, Youcef (Peer reviewed; Journal article, 2021)Traditional association-rule mining (ARM) considers only the frequency of items in a binary database, which provides insufficient knowledge for making efficient decisions and strategies. The mining of useful information ... -
A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam; Aleem, Muhammad (Peer reviewed; Journal article, 2020)Nowadays, embedded systems are comprised of heterogeneous multi-core architectures, i.e., CPUs and GPUs. If the application is mapped to an appropriate processing core, then these architectures provide many performance ... -
Mitigating adversarial evasion attacks by deep active learning for medical image classification
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)In the Internet of Medical Things (IoMT), collaboration among institutes can help complex medical and clinical analysis of disease. Deep neural networks (DNN) require training models on large, diverse patients to achieve ... -
Mitigating adversarial evasion attacks of ransomware using ensemble learning
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)Ransomware continues to pose a significant threat to cybersecurity by extorting money from users by locking their devices and personal data. The attackers force the payment of a ransom in order to restore access to personal ... -
A ML-based resource utilization OpenCL GPU-kernel fusion model
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)Massive data parallelism can be achieved by using general-purpose graphics processing units (GPGPU) with the help of the OpenCL framework. When smaller data with higher GPU memory is executed, it results in a low resource ... -
Multi-aspect detection and classification with multi-feed dynamic frame skipping in vehicle of internet things
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)Consumer demand for automobiles is changing because of the vehicle’s dependability and utility, and the superb design and high comfort make the vehicle a wealthy object class. The creation of object classes necessitates ... -
A nutrient recommendation system for soil fertilization based on evolutionary computation
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam; Djenouri, Youcef (Peer reviewed; Journal article, 2021)In agricultural production, soil characteristics play a vital role in maintaining fertility by allowing crops to develop better through root nutrition with minimal energy inputs. Nitrogen (N), Phosphorus (P), and Potassium ... -
Privacy-Preserving Deep Reinforcement Learning in Vehicle AdHoc Networks
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2021)The increasing number of road vehicles results in more fatalities and accidents. Thus, the manufacturing industry is working on driver safety to secure and safe transportation in Vehicle Adhoc networks. In addition, the ... -
Reliable customer analysis using federated learning and exploring deep-attention edge intelligence
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)The Internet of Things (IoT) and smart cities are flourishing with distributed systems in mobile wireless networks. As a result, an enormous amount of data are being generated for devices at the network edge. This results ... -
A resource allocation deep active learning based on load balancer for network intrusion detection in SDN sensors
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)Dynamic traffic in a software-defined network (SDN) causes explosive data to flow from one system to another. The explosive data affects the functionality of system parameters, network-level configuration, routing parameters, ... -
Retracted: A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases
Shah, Wajid; Aleem, Muhammad; Iqbal, Muhammad Azhar; Islam, Muhammad Arshad; Ahmed, Usman; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)Cardiovascular and chronic respiratory diseases are global threats to public health and cause approximately 19 million deaths worldwide annually. This high mortality rate can be reduced with the use of technological ... -
Robust adversarial uncertainty quantification for deep learning fine-tuning
Ahmed, Usman; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)This paper proposes a deep learning model that is robust and capable of handling highly uncertain inputs. The model is divided into three phases: creating a dataset, creating a neural network based on the dataset, and ... -
Temporal positional lexicon expansion for federated learning based on hyperpatism detection
Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2022)Internet-based information exchange has resulted in the propagation of false and misleading information, which is highly detrimental to individuals and humankind. Due to the speed and volume of social media news production, ...