Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Bankole I. Oladapo"'
Publikováno v:
Waste Management Bulletin, Vol 2, Iss 3, Pp 266-274 (2024)
This study explores the efficacy of Long Short-Term Memory (LSTM) networks in predicting recycling rates and enhancing resource allocation in waste management systems. It addresses the limitations of traditional statistical models and machine learnin
Externí odkaz:
https://doaj.org/article/ae6eb27b494c4b91845633b6449d8149
Publikováno v:
Waste Management Bulletin, Vol 2, Iss 3, Pp 101-108 (2024)
This research investigates the management of waste vegetables in Lagos, Nigeria, aiming to enhance sustainability and reduce environmental impact. This study explores existing waste management practices and assesses their effectiveness through a mixe
Externí odkaz:
https://doaj.org/article/f32a873cc2444eec91921486d42f1caa
Autor:
David B. Olawade, Oluwaseun Fapohunda, Ojima Z. Wada, Sunday O. Usman, Abimbola O. Ige, Olawale Ajisafe, Bankole I. Oladapo
Publikováno v:
Waste Management Bulletin, Vol 2, Iss 2, Pp 244-263 (2024)
Waste management poses a pressing global challenge, necessitating innovative solutions for resource optimization and sustainability. Traditional practices often prove insufficient in addressing the escalating volume of waste and its environmental imp
Externí odkaz:
https://doaj.org/article/a1846806e0d542ab9c64ebee2575bf64
Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions
Autor:
David B. Olawade, Ojima Z. Wada, Abimbola O. Ige, Bamise I. Egbewole, Adedayo Olojo, Bankole I. Oladapo
Publikováno v:
Hygiene and Environmental Health Advances, Vol 12, Iss , Pp 100114- (2024)
The application of Artificial Intelligence (AI) in environmental monitoring offers accurate disaster forecasts, pollution source detection, and comprehensive air and water quality monitoring. This article provides an overview of the value of environm
Externí odkaz:
https://doaj.org/article/7724b4b0b1d04ccfac35c255c9d0ffed
Publikováno v:
Batteries, Vol 10, Iss 11, p 383 (2024)
This research explores the enhancement of electrochemical performance in magnesium batteries by optimising magnesium alloy anodes, explicitly focusing on Mg-Al and Mg-Ag alloys. The study’s objective was to determine the impact of alloy composition
Externí odkaz:
https://doaj.org/article/93c39e3871c749189e9bb2c5984762dc
Publikováno v:
Biomimetics, Vol 9, Iss 11, p 651 (2024)
This study explores the enhancement of poly(lactic acid) (PLA) matrix using calcium hydroxyapatite (cHAP) and reduced graphene oxide (rGO) for developing composite scaffolds aimed at bone regeneration applications. The PLA composites were fabricated
Externí odkaz:
https://doaj.org/article/137df87cda9346358b7376d0eecbb248
Publikováno v:
Atmosphere, Vol 15, Iss 10, p 1250 (2024)
This research investigates the application of machine learning models to optimise renewable energy systems and contribute to achieving Net Zero emissions targets. The primary objective is to evaluate how machine learning can improve energy forecastin
Externí odkaz:
https://doaj.org/article/011a3ca9fbae42ab99ecb6dbeb506f49
Publikováno v:
Biomimetics, Vol 9, Iss 10, p 642 (2024)
This research aims to enhance the surface quality, mechanical properties, and biocompatibility of PEEK (polyether–ether–ketone) biomimetic dental implants through laser polishing. The objective is to improve osseointegration and implant durabilit
Externí odkaz:
https://doaj.org/article/6328d16898334b5f880eafc9a53fa074
Publikováno v:
Biomimetics, Vol 9, Iss 10, p 587 (2024)
This study explores the fabrication and characterisation of 3D-printed polylactic acid (PLA) scaffolds reinforced with calcium hydroxyapatite (cHAP) for bone tissue engineering applications. By varying the cHAP content, we aimed to enhance PLA scaffo
Externí odkaz:
https://doaj.org/article/1f3453ebfa604e41b7b99cf1009358fa
Autor:
Mattew A. Olawumi, Francis T. Omigbodun, Bankole I. Oladapo, Temitope Olumide Olugbade, David B. Olawade
Publikováno v:
Bioengineering, Vol 11, Iss 9, p 924 (2024)
This research investigates using Polyether ether ketone (PEEK) in dental prosthetics, focusing on enhancing the mechanical properties, adhesion capabilities, and environmental sustainability through AI-driven data analysis and advanced surface treatm
Externí odkaz:
https://doaj.org/article/7983c6ccc9e64579badbf5545e262d04