Journals and Magazines: Recent submissions

Now showing items 61-80 of 1745

Efficient water quality prediction by synthesizing seven heavy metal parameters using deep neural network

Moeinzadeh, H; Jegakumaran, P; Yong, K; Withana, A [Article-Full-text]

Water quality is primarily assessed by consumers based on its aesthetic acceptability, encompassing factors such as taste, odor, and appearance. The seven heavy metal parameters - magnesium, sulfate, potassium, sodium, ...
Geochemical exploration for prospecting new rare earth elements (REEs) sources

Dushyantha, N; Ratnayake, N; Premasiri, R; Batapola, N; Panagoda, H; Jayawardena, C; Chandrajith, R; Ilankoon, IMSK; Rohitha, S; Ratnayake, AS; Abeysinghe, B; Dissanayake, K; Dilshara, P [Article-Full-text]

Rare earth elements (REEs) are globally considered as critical elements due to their indispensable applications in various high-tech industries. With the ever-increasing demand, identified primary REE resources will not ...
A Review of coastal erosion mitigation measures on Sri Lanka’s Western Coast, an Island Nation in the Indian Ocean: Current gaps and future directions

Jayathilaka, R. M. R. M.; Ratnayake, N. P; Wijayaratna, T. M. N.; Silva, K. B. A.; Arulananthan, K [Article-Full-text]

A significant portion of the Coastal zone of Indian Ocean Rim Association (IORA) necessitates the implementation of coastal protection measures due to socioeconomic and environmental vulnerability brought on by coastal ...
Can lean principles assist to reduce BIM implementation costs? Acontemporary application of lean principles to the Sri Lankan construction industry

Weerasinghe, Lichini Nikesha; Rathnasinghe, Akila Pramodh; Jayasena, Himal Suranga; Thurairajah, Niraj; Thayaparan, Menaha [Article-Full-text]

Purpose – Building informationmodelling (BIM) claims to be spearheading the modern technological revolution in the global construction industry. While scholars have emphasised the cruciality of BIM, associated costs ...
Modelling vegetation land fragmentation in urban areas of Western Province, Sri Lanka using an Artificial Intelligence-based simulation technique

Jayasinghe, A; Ranaweera, N; Abenayake, C; Bandara, N; De Silva, C [Article-Full-text]

Vegetation land fragmentation has had numerous negative repercussions on sustainable development around the world. Urban planners are currently avidly investigating vegetation land fragmentation due to its effects on ...
Reducing CO2 level in the indoor urban built environment: Analysing indoor plants under different light levels

Weerasinghe, N. H; Silva, P. K.; Jayasinghe, R. R.; Abeyrathna, W. P.; John, G. K. P.; Halwatura, R. U. [Article-Full-text]

Recent studies have highlighted that people spend most of their time indoors, making indoor air quality a critical concern. Indoor air pollution can have detrimental effects on human health, and the concentration of carbon ...
Suitability of modular technology for house construction in sri lanka

Munmulla, T; Gamage, HDH; Navaratnam, S; Ponnampalam, T; Zhang, G; Jayasinghe, T [Article-Full-text]

Prefabricated volumetric modular building construction is an emerging technology in many countries used to develop the construction industry through its value-added benefits. The adoption of these novel technologies in the ...
Procurement management in the foreign-funded construction projects implemented in Sri Lanka

Weerasekara, D. T.; Disaratna, V.; Withanage, K. T.; Perera, B. A. K. S. [Article-Full-text]

The most salient issue faced in foreign funded (FF) projects is the project delays arising from procurement issues. Addressing these issues and finding strategies to overcome them will be helpful to FF project stakeholders. ...
Sustainable approaches to improve the resilience of modular buildings under wind loads

Munmulla, T; Navaratnam, S; Gamage, H; Tushar, Q; Ponnampalam, T; Zhang, G; Jayasinghe, MTR [Article-Full-text]

Prefabricated volumetric modular building (PVMB) technology is an emerging technology that can make the construction industry walk towards sustainability by reducing the emission of pollutants leading to various environmental ...
Application of subcontracting as a quality improvement tool for building constructions in Sri Lanka

Mallawaarachchi, VT; Senanayake, SMAH; Disaratna, V; Perera, BAKS [Article-Full-text]

Research on the necessity of subcontractors’ incorporation in quality improvement in construction is scarce globally, especially in the Sri Lankan context. Thus, this research aimed to evaluate the applicability of ...
Investigation of pozzolanic properties of sugarcane bagasse ash for commercial applications

Prabhath, N; Kumara, BS; Vithanage, V; Samarathunga, AI; Sewwandi, N; Damruwan, HGH; Lewangamage, S; Koswattage, KS [Article-Full-text]

The ideal climatic and environmental conditions for sugarcane cultivation are present all year round in the tropical island of Sri Lanka. Given the annual sugar consumption of the nation, a significant amount of sugarcane ...
Hybrid navigation decision control mechanism for intelligent wheel-chair

Bandara, HMRT; Priyanayana, KS; Pathirana, CD; Jayasekara, B [Article-Full-text]

he continuous rising of the elderly/disabled population has created a requirement for assistiverobotics devices to counter the lack of trustworthy servants. Intelligent Wheelchairs are developed forthat particular purpose. ...
A knowledge framework for blockchain-enabled smart contract adoption in the construction industry

Weerapperuma, U. S; Rathnasinghe, A. P; Jayasena, H.S; Wijewickrama, C.S.; Thurairajah, N [Article-Full-text]

Purpose A novel facet of the construction industry's (CI) digital transformation relates to the rise of smart contracts, and the contribution of blockchain technology in this domain appears to be nascent but rapidly ...
Critical analysis of lean construction maturity models: a systematic literature review

Jayanetti, JKDDT; Perera, BAKS; Waidyasekara, KGAS; Siriwardena, M [Article-Full-text]

Lean construction (LC) is becoming prevalent, and assessment of the level of LC implementation is vital for organizations to realize their full potential. In meeting that need, lean construction maturity models (LCMMs) ...
Choice modeling of grocery shopping behavior: A Sri Lankan case study

Vithanage, C; Wattage, P; Kariyawasam, S; Wilson, C; Khanal, U [Article-Full-text]

Different retail forms play an integral part in the urban landscape in Sri Lankan cities shaping its spatial form. In planning new and different grocery retail forms, the main considerations are usually location, distance ...
End-to-end data-dependent routing in multi-path neural networks

Tissera, D; Wijesinghe, R; Vithanage, K; Xavier, A; Fernando, S; Rodrigo, R [Article-Full-text]

Neural networks are known to give better performance with increased depth due to their ability to learn more abstract features. Although the deepening of networks has been well established, there is still room for efficient ...
Environmentally sustainable plastic food packaging

Jagoda, SUM; Gamage, JR; Karunathilake, HP [Article-Full-text]

Enhancing the sustainability of food packaging (FP) is challenging due to the conflicting environmental and functional requirements, even though it leads to many negative environmental impacts over different life cycle ...
Reinforcement learning strategies in cancer chemotherapy treatments: A review

Yang, C.-Y; Shiranthika, C.; Wang, C.-Y; Chen, K.-W; Sumathipala, S. [Article-Full-text]

Background and objective Cancer is one of the major causes of death worldwide and chemotherapies are the most significant anti-cancer therapy, in spite of the emerging precision cancer medicines in the last 2 decades. The ...
Feasibility of digital twins to manage the operational risks in the production of a ready-mix concrete plant

Weerapura, V; Sugathadasa, R; De Silva, M. M; Nielsen, I; Thibbotuwawa, A [Article-Full-text]

The ready-mix concrete supply chain is highly disruptive due to its product perishability and Just-in-Time (JIT) production style. A lack of technology makes the ready-mix concrete (RMC) industry suffer from frequent ...
Highly sensitive quantitative phase microscopy and deep learning aided with whole genome sequencing for rapid detection of infection and antimicrobial resistance

Ahmad, A; Hettiarachchi, R; Khezri, A; Ahluwalia, BS; Wadduwage, DN; Ahmad, R [Article-Full-text]

Current state-of-the-art infection and antimicrobial resistance (AMR) diagnostics are based on culture-based methods with a detection time of 48-96 h. Therefore, it is essential to develop novel methods that can do real-time ...

Now showing items 61-80 of 1745

Search UoM-IR

Browse

All of UoM-IR
This Community
- Authors
- Titles
- Subjects
- Faculty
- Acc. No.
- Document Type
- Year
- Conference Proceedings

Recently added

Journals and Magazines: Recent submissions

Search UoM-IR

Browse

All of UoM-IR

This Community

My Account