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In this study, research on the determination of the technological level in the greenhouse mechanization in Southeastern Anatolia Region of Turkey has been carried out. The technological equipment and operating parameters that should be in a modern greenhouse h…

Open-finance systems increasingly compose portfolio models, data services, and execution interfaces supplied by different parties. This modularity is useful only if the executed wealth path can be checked independently of the model that proposed it. We study a…

Enterprise financial forecasts are generated across multiple business dimensions such as products, regions, channels, customer cohorts, and segments. In a large enterprise, this can result in billions of populated intersections that finance teams cannot review…

Post-quantum cryptographic standardization is complete for the algorithms that matter most, yet adoption across financial infrastructure remains uneven and, in critical segments, largely absent. This paper argues that migration is no longer a research question…

Market democratization through conversational AI represents a critical frontier in financial technology, yet cryptocurrency analysis remains dominated by institutional players with sophisticated toolchains. We introduce AICrypto-Assistant, the first open-sourc…

Heritage restoration projects face numerous challenges, including the preservation of historical accuracy, effective stakeholder collaboration, and maintaining transparent records of interventions. This paper proposes a theoretical framework that integrates Bu…

This study investigates the return on investment (ROI) of Building Information Modelling (BIM) in the construction industry and addresses common barriers to its adoption such as high start-up costs and lack of familiarity with the technology. Despite its prove…

Throughout history, earth as one of the most basic building materials of architecture, has stood out as a culturally and environmentally sustainable resource thanks to its local availability, compatibility with natural cycles and renewability. Increasing envir…

The Designesart Collection was created as part of the master’s program in Furniture and Interior Design at the Instituto Politécnico de Castelo Branco’s Escola Superior de Artes Aplicadas, Portugal. It is a product series that values inherent Beira Baixa’s ter…

Diabetes is a chronic disease affecting millions worldwide, necessitating early and accurate diagnosis for effective management. Traditional diagnostic methods, while reliable, often struggle with efficiency and early-stage detection. Deep learning has emerged…

This study presents a comparative evaluation of five widely adopted blockchain consensus algorithms—Proof of Work (PoW), Proof of Stake (PoS), Delegated Proof of Stake (DPoS), Practical Byzantine Fault Tolerance (PBFT), and Proof of Authority (PoA)—based on en…

This review explores the role of artificial intelligence (AI) in enhancing energy efficiency within heritage buildings, focusing on balancing sustainability goals with the preservation of historical and architectural integrity. AI technologies such as Building…

The uncontrolled spread of forest fires, driven by climate change and increasing human activities, poses a significant global challenge, disrupting the delicate balance of ecosystems. These fires, whether caused by natural disasters or human factors, have seve…

Accurate and efficient detection of aircraft at airports is crucial for enhancing airport security, ensuring safe operations, and improving overall air traffic management. As airports grow in complexity and traffic density increases, automated object detection…

Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data available have promoted …

This study examines the effects of inrush current loads on electric motors operating under low-temperature conditions. While electric motors have a wide range of applications in industrial and military environments, they face significant performance challenges…

This study examines the failure mechanisms of a three-phase AC induction electric motor with a closed body design, intended to provide IP protection, due to insufficient cooling under high-temperature conditions. Overheating at elevated temperatures adversely …

This study employs a supervised learning approach for the Stock Portfolio Selection (SPS) problem. The proposed approach solves three problems defined in the literature review: the narrow period selection problem, the proper objective selection problem, and th…

Handwritten Signature Recognition (HSR) is a vital task in document authentication and verification systems. This paper proposes a novel approach for offline HSR leveraging pre-trained Convolutional Neural Network (CNN) models. CNNs have demonstrated remarkabl…

In the present study, a model drug, with its low permeable and low aqueous soluble properties, was selected to produce microparticles using an anti-solvent precipitation technique with two different drugs: polymer (0.5, 1.0, w/v %) ratios. The characterization…