SDG 9-industry, innovation and infrastructure

SDG In (AUIQ) SDG 9-industry, innovation and infrastructure

NO.	Title	Link
1	An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103129923&doi=10.1016%2fj.chemosphere.2021.130126&partnerID=40&md5=358c021b4d479a7c573b891d91f6b96c
2	Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114164297&doi=10.1038%2fs41598-021-96751-4&partnerID=40&md5=940f1a7a97c954ac5f936ae49b7c27f1
3	Groundwater level prediction using machine learning models: A comprehensive review	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126854743&doi=10.1016%2fj.neucom.2022.03.014&partnerID=40&md5=5e95b9575d5950f1af161383a5fd77ee
4	Graphene and carbon structures and nanomaterials for energy storage	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134587834&doi=10.1007%2fs00339-022-05789-2&partnerID=40&md5=c62ee2a560dc4ebc481bf9a37e504698
5	Multiple machine learning models for prediction of CO2 solubility in potassium and sodium based amino acid salt solutions	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121965081&doi=10.1016%2fj.arabjc.2021.103608&partnerID=40&md5=230b530b09084ab21b18235444f3de89
6	Deep Learning for Prediction of Water Quality Index Classification: Tropical Catchment Environmental Assessment	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112649473&doi=10.1007%2fs11053-021-09922-5&partnerID=40&md5=d3223809fd0b3e1afe018ae904cfd265
7	Mesoporous high-surface-area activated carbon from biomass waste via microwave-assisted-H3PO4 activation for methylene blue dye adsorption: An optimized process	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135723230&doi=10.1016%2fj.diamond.2022.109288&partnerID=40&md5=2f03dad22513224d3a0f1f3bffff6b95
8	Hub Location-allocation in Computer-based Networks under Disruption Using Whale Optimization Algorithm	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140649643&doi=10.7232%2fiems.2022.21.3.503&partnerID=40&md5=2954402c2fda0da77eca33026ed35a79
9	Modeling and optimization of the adsorptive removal of crystal violet dye by durian (Durio zibethinus) seeds powder: insight into kinetic, isotherm, thermodynamic, and adsorption mechanism	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138802313&doi=10.1007%2fs13399-022-03319-x&partnerID=40&md5=2e6fa47e109eba4863b107279a152774
10	Influence of different rotations of organic formamidinium molecule on electronic and optical properties of FAPbBr3 perovskite	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118978574&doi=10.3390%2fcoatings11111341&partnerID=40&md5=6191302dfc86b17afb31951e2f74ab40
11	SDN-assisted technique for traffic control and information execution in vehicular adhoc networks	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132107550&doi=10.1016%2fj.compeleceng.2022.108108&partnerID=40&md5=da0f3d51ae35ed91b91ec0f6fe04559a
12	An accelerated gradient-based optimization development for multi-reservoir hydropower systems optimization	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119912263&doi=10.1016%2fj.egyr.2021.11.010&partnerID=40&md5=bbbcc55eea154f0d723621fd8712a42b
13	Implementation of AdaBoost and genetic algorithm machine learning models in prediction of adsorption capacity of nanocomposite materials	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123052394&doi=10.1016%2fj.molliq.2022.118527&partnerID=40&md5=ba4a5a8475888b0a2d284c3466c85ddc
14	Deep clustering of cooperative multi-agent reinforcement learning to optimize multi chiller HVAC systems for smart buildings energy management	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144449447&doi=10.1016%2fj.jobe.2022.105689&partnerID=40&md5=3420fd29cd2422ca3eef753297a47137
15	Design of low-energy buildings in densely populated urban areas based on IoT	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127779983&doi=10.1016%2fj.egyr.2022.03.139&partnerID=40&md5=495e8d4b3257c7baca6872ab3b93d099