The world has witnessed a significant population shift to urban areas over the past few decades. Urban account for about two-thirds of world's total primary energy consumption, which building sector constitutes proportion approximately 40%. Stakeholders such as planners and policy makers face substantial challenges when targeting sustainable climate goals related buildings' sector, i.e. reduce use associated emissions. modeling is one possible solution that leverages limited resources...

Imagery-based, three-dimensional (3D) reconstruction from unmanned aerial vehicles (UAVs) holds the potential to provide safer, more economical, and less disruptive bridge inspection. In support of those efforts, this paper proposes a process using an imagery-based point cloud. First, inspection procedure is introduced, including data acquisition, 3D reconstruction, quality evaluation, subsequent damage detection. Next, evaluation mechanisms are proposed checking coverage, analyzing...

Integrating imaging sensors and artificial intelligence (AI) have contributed to detecting plant stress symptoms, yet data analysis remains a key challenge. Data challenges include standardized collection, protocols, selection of AI algorithms, finally, sharing. Here, we present systematic literature review (SLR) scrutinizing for identifying responses. We performed scoping using specific keywords, namely abiotic biotic stress, machine learning, deep learning. Next, used programmable bots...

Urban planners, local authorities, and energy policymakers often develop strategic sustainable plans for the urban building stock in order to minimize overall consumption emissions. Planning at such scales could be informed by modeling using existing data Geographic Information System-based mapping. However, implementing these processes involves several issues, namely, availability, inconsistency, scalability, integration, geocoding, privacy. This research addresses aforementioned...

Urban planners face significant challenges when identifying building energy efficiency opportunities and developing strategies to achieve efficient sustainable urban environments. A possible scalable solution tackle this problem is through the analysis of stock databases. Such databases can support assist with benchmarking potential retrofit performance analysis. However, a database time-intensive modeling procedure that requires extensive data (both geometric non-geometric). Furthermore,...

Electricity load forecasting is an important part of power system dispatching. Accurately electricity have great impact on a number departments in systems. Compared to simulation (white-box model), (black-box model) does not require expertise building construction. The development cycle the model much shorter than design simulation. Recent developments machine learning lead creation models with strong fitting and accuracy deal nonlinear characteristics. Based real dataset, this paper...

Breast density estimation with visual evaluation is still challenging due to low contrast and significant fluctuations in the mammograms' fatty tissue background. The primary key breast classification detect dense tissues mammographic images correctly. Many methods have been proposed for estimation; nevertheless, most of them are not fully automated. Besides, they badly affected by signal-to-noise ratio variability appearance texture. This study intends develop a automated digitalized...

The progression and adoption of innovative learning methodologies signify that a respective part society is open to new technologies ideas thus advancing. latest innovation in teaching the use Augmented Reality (AR). Applications using this technology have been deployed successfully STEM (Science, Technology, Engineering, Mathematics) education for delivering practical creative parts teaching. Since AR already has large volume published studies about reports advantages, limitations,...

Background: Unmanned Aerial Vehicle (UAV) technology has exploded in recent years. Presently UAVs are beginning to be major roads into geographical mapping, site inspection, agriculture, and search rescue. Methods: This paper reviewed patents papers worldwide related both hardware software for the construction deployment of is intended provide a snapshot currently available UAV technologies, as well identify trends future opportunities affiliated software. Results: Basic components...

The increasing penetration of renewable energy sources has the potential to contribute towards decarbonisation building sector. However, this transition brings its own challenges including that integration and grid instability issues arising due stochastic nature variable sources. One approach address these is demand side management, which increasingly seen as a promising solution improve stability. This achieved by exploiting flexibility shifting peak periods generation. single needs be...

There is a lack of empirical analysis macro-level energy policy through gender lens, and there exists research gap in tools for such analysis. This paper proposes novel approach to explore the dimension language used documents as National Energy Climate Action Plans (NECPs) European Union (EU) member states. We first review literature identify existing approaches that analyse energy/gender nexus. then describe how we adapt Natural Language Processing (NLP) techniques quantify degree which...

The sophistication of building energy performance tools has significantly increased the number user inputs and parameters used to define models. There are numerous sources uncertainty in model which exhibit varied characteristics. Therefore, analysis is crucial ensure validity simulation results when assessing predicting complex systems, especially absence adequate experimental or real-world data. Furthermore, different kinds uncertainties often propagated using similar methods, leads a...

Abstract Children diagnosed with attention deficit hyperactivity disorder (ADHD) experience a variety of difficulties related to three primary symptoms: hyperactivity, inattention and impulsivity. The most common type ADHD has combination all symptom areas. These core symptoms may negatively impact the academic social performance children throughout their school life. AHA (ADHD-Augmented) project focused specifically on digital technologies’ intervention literacy skills that participated in...

This research is concerned with the novel application and investigation of 'Soft Actor Critic' based deep reinforcement learning to control cooling setpoint (and hence loads) a large commercial building harness energy flexibility. The motivated by challenge associated development conventional model-based approaches at scale wider stock. Soft Critic model-free technique that able handle continuous action spaces which has seen limited real-life or high-fidelity simulation implementations in...