Youssef Maaloufa^1,2,3,*, Soumia Mounir^1,2,3, Sara Ibnelhaj², Fatima Zohra El Wardi⁶, Asma Souidi³, Yakubu Aminu Dodo^4,5, Malika Atigui³, Mina Amazal³, Abelhamid Khabbazi², Hassan Demrati³, Ahmed Aharoune³

Journal of Renewable Materials, Vol.12, No.4, pp. 843-867, 2024, DOI:10.32604/jrm.2024.049942 - 12 June 2024

Abstract The development of bio-sourced materials is essential to ensuring sustainable construction; it is considered a locomotive of the green economy. Furthermore, it is an abundant material in our country, to which very little attention is being given. This work aims to valorize the waste of the trunks of banana trees to be used in construction. Firstly, the physicochemical properties of the fiber, such as the percentage of crystallization and its morphology, have been determined by X-ray diffraction tests and scanning electron microscopy to confirm the potential and the impact of the mode of drying on… More >

Ehab Bahaudien Ashary¹, Sahar Jambi², Rehab B. Ashari², Mahmoud Ragab^3,4,*

Computer Systems Science and Engineering, Vol.47, No.3, pp. 2953-2969, 2023, DOI:10.32604/csse.2023.041523 - 09 November 2023

Abstract Object Detection is the task of localization and classification of objects in a video or image. In recent times, because of its widespread applications, it has obtained more importance. In the modern world, waste pollution is one significant environmental problem. The prominence of recycling is known very well for both ecological and economic reasons, and the industry needs higher efficiency. Waste object detection utilizing deep learning (DL) involves training a machine-learning method to classify and detect various types of waste in videos or images. This technology is utilized for several purposes recycling and sorting waste,… More >

Vaishnavi Jayaraman¹, Arun Raj Lakshminarayanan^1,*, Saravanan Parthasarathy¹, A. Suganthy²

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 301-320, 2023, DOI:10.32604/iasc.2023.037823 - 29 April 2023

Abstract Waste production rises in tandem with population growth and increased utilization. The indecorous disposal of waste paves the way for huge disaster named as climate change. The National Environment Agency (NEA) of Singapore oversees the sustainable management of waste across the country. The three main contributors to the solid waste of Singapore are paper and cardboard (P&C), plastic, and food scraps. Besides, they have a negligible rate of recycling. In this study, Machine Learning techniques were utilized to forecast the amount of garbage also known as waste audits. The waste audit would aid the authorities… More >

Manar Ahmed Hamza^1,*, Hanan Abdullah Mengash², Noha Negm³, Radwa Marzouk², Abdelwahed Motwakel¹, Abu Sarwar Zamani¹

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 4191-4205, 2023, DOI:10.32604/cmc.2023.027050 - 31 March 2023

Abstract Recently, urbanization becomes a major concern for developing as well as developed countries. Owing to the increased urbanization, one of the important challenging issues in smart cities is waste management. So, automated waste detection and classification model becomes necessary for the smart city and to accomplish better recyclable waste management. Effective recycling of waste offers the chance of reducing the quantity of waste disposed to the land fill by minimizing the requirement of collecting raw materials. This study develops a novel Deep Consensus Network with Whale Optimization Algorithm for Recycling Waste Object Detection (DCNWO-RWOD) in… More >

Xing Zhou^1,2,5,6,*, Qi Wang¹, Sai Feng¹, Jingrui Deng¹, Keming Zhu¹, Yun Xing^1,3, Xiaolian Meng³, Xiaojun Wang⁴, Lu Li^5,6

Journal of Renewable Materials, Vol.11, No.5, pp. 2085-2108, 2023, DOI:10.32604/jrm.2023.025032 - 13 February 2023

Abstract Greenhouse gas emissions from waste plastics have caused global warming all over the world, which has been a central threat to the ecological environment for humans, flora and fauna. Among waste plastics, waste polyethylene terephthalate (PET) is attractive due to its excellent stability and degradation-resistant. Therefore, merging China’s carbon peak and carbon neutrality goals would be beneficial. In this review, we summarize the current state-of-the-art of carbon emission decrease from a multi-scale perspective technologically. We suggest that the carbon peak for waste PET can be achieved by employing the closed-loop supply chain, including recycling, biomass More > Graphic Abstract

R. Rema^*, N. Nalanth

Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1497-1506, 2023, DOI:10.32604/iasc.2023.032540 - 05 January 2023

Abstract Researchers worldwide have employed a varied array of sources to calculate the successful management of Construction and Demolition (C&DW). Limited research has been undertaken in the domain of Construction and Demolition Waste Management (C&DWM) and consequently leaving a large gap in the availability of effective management techniques. Due to the limited time available for building removal and materials collection, preparing for building materials reuse at the end of life is frequently a challenging task. In this research work Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) is proposed to predict the number of waste materials that are More >

Diako Khodaei¹, Mohammad Nejatian^2,*, Hassan Ahmadi Gavlighi², Farhad Garavand^3,*, Ilaria Cacciotti⁴

Journal of Renewable Materials, Vol.10, No.11, pp. 2805-2817, 2022, DOI:10.32604/jrm.2022.021752 - 29 June 2022

Abstract The seeds from bitter orange, the by-product of juice making units, hold the potential to facilitate novel, easy yet high-quality pectin extraction. To test this hypothesis, orange seed pectin (OSP) was extracted by distilled water and its compositional parameters and rheological behavior were then evaluated. Results showed that galacturonic acid was the major component of OSP (∼425 mg/g) confirming the purity of the extracted pectin, followed by glucose and some minor neutral sugars. The Mw (weight-average molar mass), Rn (number average molar mass), and Rz (z-average molar mass) values for the OSP were 4511.8 kDa,… More > Graphic Abstract

Nguyen Van Thanh¹, Nguyen Hoang Hai^1,*, Nguyen Thi Kim Lan²

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2191-2202, 2022, DOI:10.32604/cmc.2022.026357 - 29 March 2022

Abstract Healthcare supply chains are under pressure to drive down costs because of digital business, shifting customer needs and new competition. Medical waste generated from medical facilities includes medical activities and daily-life activities of patients and their family members. According to statistics of the Department of Health Environmental Management, Vietnam currently has more than 13,500 medical facilities, including hospitals from central to provincial and district levels and private hospitals and medical facilities. Preventive medicine generates about 590 tons of medical waste/day and is estimated to be about 800 tons/day. Medical waste includes ordinary medical waste and… More >

Mesfer Al Duhayyim¹, Taiseer Abdalla Elfadil Eisa², Fahd N. Al-Wesabi^3,4, Abdelzahir Abdelmaboud⁵, Manar Ahmed Hamza^6,*, Abu Sarwar Zamani⁶, Mohammed Rizwanullah⁶, Radwa Marzouk^7,8

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5699-5715, 2022, DOI:10.32604/cmc.2022.024431 - 14 January 2022

Abstract The Smart City concept revolves around gathering real time data from citizen, personal vehicle, public transports, building, and other urban infrastructures like power grid and waste disposal system. The understandings obtained from the data can assist municipal authorities handle assets and services effectually. At the same time, the massive increase in environmental pollution and degradation leads to ecological imbalance is a hot research topic. Besides, the progressive development of smart cities over the globe requires the design of intelligent waste management systems to properly categorize the waste depending upon the nature of biodegradability. Few of… More >

Ajchara Imkum Putkham¹, Suwanan Chuakham², Yuwadee Chaiyachet², Tanapon Suwansopa², Apipong Putkham^2,*

Journal of Renewable Materials, Vol.10, No.4, pp. 1137-1151, 2022, DOI:10.32604/jrm.2022.018560 - 02 November 2021

Abstract The valorization of eggshell waste as bio-calcium oxide is crucial for pollution prevention and supporting sustainable development. There are several reports on the thermal conversion of eggshell waste to calcium oxide for the partial or complete substitution of natural lime applications. However, this paper reports the thermal decomposition of large amounts of hatchery eggshell waste on an industrial-scale car bottom furnace for the first time. The hatchery eggshell waste was sundried and placed into five stacked trays in the car bottom furnace. The calcination of the eggshell waste was conducted at 900°C for 3 and… More > Graphic Abstract