Academic Articles & Research Papers

Comparison of Neighborhood-Scale, Residential Property Flood-Loss Assessment Methodologies

Leading flood loss estimation models include Federal Emergency Management Agency’s (FEMA’s) Hazus, FEMA’s Flood Assessment Structure Tool (FAST), and (U.S.) Hydrologic Engineering Center’s Flood Impact Analysis (HEC-FIA), with each requirin...

High Performance IoT Cloud Computing Framework Using Pub/Sub Techniques

The Internet of Things is attracting attention as a solution to rural sustainability crises, such as slowing income, exports, and growth rates due to the aging of industries. To develop a high-performance IoT platform, we designed and imple...

LncRNA-Top: Controlled deep learning approaches for lncRNA gene regulatory relationship annotations across different platforms

Summary: By soaking microRNAs (miRNAs), long non-coding RNAs (lncRNAs) have the potential to regulate gene expression. Few methods have been created based on this mechanism to anticipate the lncRNA-gene relationship prediction. Hence, we pr...

Multi-Objective Hybrid Optimization for Optimal Sizing of a Hybrid Renewable Power System for Home Applications

An optimal energy mix of various renewable energy sources and storage devices is critical for a profitable and reliable hybrid microgrid system. This work proposes a hybrid optimization method to assess the optimal energy mix of wind, photo...

Hybrid heterogeneous ensemble learning framework for flood susceptibility mapping in Balochistan, Pakistan

Study region: The National Highways 85 and 50, key routes of the China–Pakistan Economic Corridor (CPEC) in Balochistan, Pakistan. Study focus: Flooding is a natural disaster that is becoming increasingly frequent and severe. The National H...

Automated wound care by employing a reliable U-Net architecture combined with ResNet feature encoders for monitoring chronic wounds

Quality of life is greatly affected by chronic wounds. It requires more intensive care than acute wounds. Schedule follow-up appointments with their doctor to track healing. Good wound treatment promotes healing and fewer problems. Wound ca...

Topical Text Network Construction Method Based on Gibbs Sampling Results

Mining the probability distribution of topic words in document collection can make a summary understanding of the document content.Further exploring the connection relationship between words in a given topic not only riches the meaning of t...

A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming

Healthcare systems are transformed digitally with the help of medical technology, information systems, electronic medical records, wearable and smart devices, and handheld devices. The advancement in the medical big data, along with the ava...

One roof, two thermal modes

While seasonally fixed passive coolers provide thermal relief during heat-stress periods, their intrinsic mechanism of continuous heat dissipation renders them inherently thermally penalizing during the heating season. Here, we report and h...

Automatic Detection of Abnormal EEG Signals Using WaveNet and LSTM

Neurological disorders have an extreme impact on global health, affecting an estimated one billion individuals worldwide. According to the World Health Organization (WHO), these neurological disorders contribute to approximately six million...

An automated qualitative analysis of real-time systems using Timed Petri net and SPIN

Verification of real-time system properties using formal models can improve system design and quality. The Timed Petri net is a formal model for modelling and designing real-time systems with time constraints. Furthermore, model checking is...

A deep learning recognition model for landslide terrain based on multi-source data fusion

The traditional high-level remote landslide recognition efficiency which relies on the artificial discrimination of geological experts is low. In this paper, an automatic landslide terrain recognition model based on deep learning is develop...

MacroSwarm: A Field-based Compositional Framework for Swarm Programming

Swarm behaviour engineering is an area of research that seeks to investigate methods and techniques for coordinating computation and action within groups of simple agents to achieve complex global goals like pattern formation, collective mo...

Non-Motorized License Plate Recognition and Localization Method Based on Semantic Alignment and Hierarchical Optimization

Holding non-motorized vehicles accountable for legal violations effectively enhances urban traffic safety. Non-motorized vehicle license plates are characterized by small size, dense distribution, and ease of being obscured, which leads to ...

Empirical studies of software engineering

PointersEmpirical study play a fundamental role in modern science, helping us understand how and why things work, and allowing us to use this understanding to materially alter our world.Defining and executing studies that change how softwar...

Fundamentals of Software Engineering

Software engineering: Theory and practice

A book that describes and applies Software Engineering methods according to the state of the art of the subject matter; it is integrated with a proper exemplification and evolves as each topic is introduced. The material is designed for und...

THE PROPERNESS OF ADOBE FLASH BASIS INTERACTIVE MEDIA FOR RESPIRATORY SYSTEM LEARNING MATERIAL

This study aimed to determine the feasibility of adobe flash-based interactive media on the material of respiratory system. This research was a descriptive qualitative. The data were validated by using questionnaire. The validation was done...

Alterations in Hip and Knee Joint Contact Force Waveforms and Orientation Induced by Gait Modifications: A Case Study

Introduction & Purpose Idiopathic torsional deformities of lower limb bones can affect a patient’s gait pattern and joint health, while their cause remains unidentified (Koller et al., 2026). Abnormal joint loadings and the progression of ...

GERP: A Personality-Based Emotional Response Generation Model

It is important for chatbots to emotionally communicate with users. However, most emotional response generation models generate responses simply based on a specified emotion, neglecting the impacts of speaker’s personality on emotional expr...