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SOFT COMPUTING TECHNIQUES IN SOLID WASTE AND WASTEWATER MANAGEMENT

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9780128244630 ::  SOFT COMPUTING TECHNIQUES IN SOLID WASTE AND WASTEWATER MANAGEMENT
ISBN:

9780128244630

EditorialELSEVIER LTD
Edicion:
Páginas:522
Idioma:INGLES
P.V.P.: 162 € + 4% IVA = 168,48 €
Dto 5% Ahorras 8,42 €
Importe final iva incl. 160,06 €
EN STOCK / ENVIO EN 8-10 DIAS

<P><I>SOFT COMPUTING TECHNIQUES IN SOLID WASTE AND WASTEWATER MANAGEMENT</I> IS A THOROUGH GUIDE TO COMPUTATIONAL SOLUTIONS FOR RESEARCHERS WORKING IN SOLID WASTE AND WASTEWATER MANAGEMENT OPERATIONS. THIS BOOK COVERS IN-DEPTH ANALYSIS OF PROCESS VARIABLES, THEIR EFFECTS ON OVERALL EFFICIENCIES, AND OPTIMAL CONDITIONS AND PROCEDURES TO IMPROVE PERFORMANCE USING SOFT COMPUTING TECHNIQUES. THESE TOPICS COUPLED WITH THE SYSTEMATIC ANALYSES DESCRIBED WILL HELP READERS UNDERSTAND VARIOUS TECHNIQUES THAT CAN BE EFFECTIVELY USED TO ACHIEVE THE HIGHEST PERFORMANCE. IN-DEPTH CASE STUDIES ALONG WITH DISCUSSIONS ON APPLICATIONS OF VARIOUS SOFT-COMPUTING TECHNIQUES HELP READERS CONTROL WASTE PROCESSES AND COME UP WITH SHORT-TERM, MID-TERM AND LONG-TERM STRATEGIES.  </P> <P>WASTE MANAGEMENT IS AN INCREASINGLY IMPORTANT FIELD DUE TO RAPIDLY INCREASING LEVELS OF WASTE PRODUCTION AROUND THE WORLD. NUMEROUS POTENTIAL SOLUTIONS FOR REDUCING WASTE PRODUCTION ARE UNDERWAY, INCLUDING APPLICATIONS OF MACHINE LEARNING AND COMPUTATIONAL STUDIES ON WASTE MANAGEMENT PROCESSES. THIS BOOK DETAILS THE DIVERSE APPROACHES AND TECHNIQUES IN THESE FIELDS, PROVIDING A SINGLE SOURCE OF INFORMATION RESEARCHERS AND INDUSTRY PRACTITIONERS. IT IS IDEAL FOR ACADEMICS, RESEARCHERS AND ENGINEERS IN WASTE MANAGEMENT, ENVIRONMENTAL SCIENCE, ENVIRONMENTAL ENGINEERING AND COMPUTING, WITH RELATION TO ENVIRONMENTAL SCIENCE AND WASTE MANAGEMENT. </P> <BR><BR><UL> <LI>PROVIDES A COMPREHENSIVE REFERENCE ON THE IMPLEMENTATION OF SOFT COMPUTING TECHNIQUES IN WASTE MANAGEMENT, DRAWING TOGETHER CURRENT RESEARCH AND FUTURE IMPLICATIONS</LI> <LI>INCLUDES DETAILED ALGORITHMS USED, ENABLING AUTHORS TO UNDERSTAND AND APPRECIATE POTENTIAL APPLICATIONS</LI> <LI>PRESENTS RELEVANT CASE STUDIES IN SOLID AND WASTEWATER MANAGEMENT THAT SHOW REAL-WORLD APPLICATIONS OF DISCUSSED TECHNOLOGIES</LI></UL>

<P>SECTION 1 <B>SOFT COMPUTING APPLICATIONS IN WASTEWATER MANAGEMENT</B></P> <P><B>1 WASTEWATER—SOURCES, TOXICITY, AND THEIR CONSEQUENCES TO HUMAN HEALTH</B> <I>RAMA RAO KARRI</I>, <I>GOBINATH RAVINDRAN</I> AND <I>MOHAMMAD HADI DEHGHANI</I> <B>2 WASTEWATER TREATMENT PROCESSES—TECHNIQUES, TECHNOLOGIES, CHALLENGES FACED, AND ALTERNATIVE SOLUTIONS </B><I>BAHRAM REZAI</I> AND <I>EBRAHIM ALLAHKARAMI </I><B>3 REVIEW OF SOFT COMPUTING TECHNIQUES FOR MODELING, DESIGN, AND PREDICTION OF WASTEWATER REMOVAL PERFORMANCE</B> <I>PRIYA BANERJEE</I>, <I>RAMA RAO KARRI</I>, <I>ANIRUDDHA MUKHOPADHYAY</I> AND <I>PAPITA DAS</I> <B>4 APPLICATION OF NEURAL NETWORKS IN WASTEWATER DEGRADATION PROCESS FOR THE PREDICTION OF REMOVAL EFFICIENCY OF POLLUTANTS</B> <I>BAHRAM REZAI</I> AND <I>EBRAHIM ALLAHKARAMI</I> <B>5 APPLICATION OF ARTIFICIAL NEURAL NETWORKS ON WATER AND WASTEWATER PREDICTION: A REVIEW</B> <I>HA MANH BUI,</I> <I>HIEP NGHIA BUI</I>, <I>TUAN MINH LE</I> AND <I>RAMA RAO KARRI</I> <B>6 APPLICATION OF BAYESIAN NETWORKS MODELING IN WASTEWATER MANAGEMENT</B> <I>ABBAS ROOZBAHANI</I> <B>7 PARETO MULTIOBJECTIVE BIOINSPIRED OPTIMIZATION OF NEURO-FUZZY TECHNIQUE FOR PREDICTING SEDIMENT TRANSPORT IN SEWER PIPE </B><I>ISA EBTEHAJ, HOSSEIN BONAKDARI, HAMED AZIMI, BAHRAM GHARABGHI, SEYED HAMED ASHRAF TALESH, ALI JAMALI </I>AND<I> RAMA RAO KARRI </I><B>8 SOFT COMPUTING OPTIMIZATION ALGORITHMS AND THEIR APPLICATION IN PARAMETER ESTIMATION OF A RIGOROUS ADSORPTION KINETICS MODEL</B> <I>KANNAN ARAVAMUDAN </I><B>9 SUSTAINABLE MANAGEMENT OF WASTEWATER TREATMENT PLANTS USING ARTIFICIAL INTELLIGENCE TECHNIQUES</B> <I>MAHMOUD NASR, KARAM MOHAMED, MICHAEL ATTIA </I>AND<I> MONA G. IBRAHIM </I><B>10 MODELING WASTEWATER TREATMENT PROCESS: A GENETIC PROGRAMMING APPROACH</B> <I>C SIVAPRAGASAM, NARESH K SHARMA </I>AND<I> S VANITHA</I></P> <P>SECTION 2<B> SOFT COMPUTING APPLICATIONS IN SOLID WASTE MANAGEMENT</B></P> <P><B>11 SOLID WASTE—SOURCES, TOXICITY, AND THEIR CONSEQUENCES TO HUMAN HEALTH</B> <I>MOHAMMAD HADI DEHGHANI, GHASEM ALI OMRANI </I>AND<I> RAMA RAO KARRI </I><B>12 SOLID WASTE TREATMENT: TECHNOLOGICAL ADVANCEMENTS AND CHALLENGES</B> <I>VINAY PRATAP, SAKINA BOMBAYWALA, ASHOOTOSH MANDPE </I>AND<I> SAIF ULLAH KHAN </I><B>13 SOLID WASTE TREATMENT PROCESSES AND REMEDIAL SOLUTION IN THE DEVELOPING COUNTRIES</B> <I>O.O. AYELERU </I>AND<I> P.A. OLUBAMBI </I><B>14 SOFT COMPUTING APPLICATIONS IN MUNICIPAL SOLID WASTE FORECAST: A SHORT REVIEW</B> <I>O.O. AYELERU, L.I. FAJIMI, B.O. OBOIRIEN </I>AND<I> P.A. OLUBAMBI </I><B>15 DYNAMIC MULTI-OBJECTIVE OPTIMIZATION OF INTEGRATED WASTE MANAGEMENT USING GENETIC ALGORITHMS</B> <I>MOHAMED ABDALLAH, ZAKIYA RAHMAT-ULLAH </I>AND<I> ABDULRAHMAN METAWA </I><B>16 PREDICTION OF EFFLUENT CHEMICAL OXYGEN DEMAND AND SUSPENDED SOLIDS FROM A DOMESTIC WASTEWATER TREATMENT PLANT USING SVM AND ANN</B> <I>SAKAA BACHIR, BOUDIBI SAMIR, CHAFFAI HICHAM </I>AND<I> HANI AZZEDINE </I><B>17 ARTIFICIAL INTELLIGENCE MODELS FOR FORECASTING OF MUNICIPAL SOLID WASTE GENERATION </B><I>RAHUL MISHRA, EKTA SINGH, AMAN KUMAR </I>AND<I> SUNIL KUMAR </I><B>18 A DESIGN FRAMEWORK FOR AN INTEGRATED END-OF-LIFE VEHICLE WASTE MANAGEMENT SYSTEM IN MALAYSIA</B> <I>NORAZLI OTHMAN, ATIKAH RAZALI, SHREESHIVADASAN CHELLIAPAN, ROSLINA MOHAMMAD </I>AND<I> HESAM KAMYAB </I><B>19 EFFECT OF NORMALIZATION PROTOCOL ON PULPING PROCESS SELECTION USING TOPSIS MULTICRITERIA DECISION-MAKING METHOD—A CASE STUDY OF PALM OIL EMPTY FRUIT BUNCHES</B> <I>KUMAR ANUPAM, PANKAJ KUMAR GOLEY </I>AND<I> ANIL YADAV </I><B>20 LONG-TERM SOLID WASTE QUANTITY PREDICTION USING AI-BASED MODELS, CONSIDERING CLIMATE CHANGE IMPACT—A CASE STUDY</B> <I>AIDA H. BAGHANAM, VAHID NOURANI </I>AND<I> KOOROSH SHAKOORI</I></P> <P>SECTION 3<B> APPLICATION OF SOFT COMPUTING TECHNIQUES FOR PROCESS MODELING, OPTIMISATION AND CONTROL OF WASTE WATER AND SOLID WASTE</B></P> <P><B>21 PROCESS OPTIMIZATION AND MODELING OF HYDRAULIC FRACTURING PROCESS WASTEWATER TREATMENT USING AEROBIC MIXED MICROBIAL REACTOR VIA RESPONSE SURFACE METHODOLOGY</B> <I>THIRUGNANASAMBANDHAM KARCHIYAPPAN </I>AND<I> RAMA RAO KARRI </I><B>22 MODELING UNDEFINED COMPLEXITIES OF WASTEWATER TREATMENT PROCESSES WITH ARTIFICIAL NEURAL NETWORK</B> <I>M. MANSOOR AHAMMED </I>AND<I> MAHESH GADEKAR </I><B>23 OPTIMIZATION OF PROCESS CONDITIONS IN WASTEWATER DEGRADATION PROCESS</B> <I>SAEED SHOJAEI </I>AND<I> SIROOS SHOJAEI </I><B>24 SYSTEM CONTROL AND OPTIMIZATION IN WASTEWATER TREATMENT: A PARTICLE SWARM OPTIMIZATION (PSO) APPROACH</B> <I>XUDONG YE, BING CHEN, RUNE STORESUND </I>AND<I> BAIYU ZHANG </I><B>25 FUZZY LOGIC CONTROL OF ACTIVE SLUDGE–BASED WASTEWATER TREATMENT PLANTS</B> <I>ABDUL GAFFAR SHEIK, S. MURALI MOHAN </I>AND<I> A. SESHAGIRI RAO </I><B>26 DEVELOPMENT OF SMART ANAMMOX SYSTEM AND ITS AGILE OPERATION AND DECISION SUPPORT FOR PILOT-SCALE WWTP</B> <I>ALAM NAWAZ, AMARPREET SINGH ARORA, CHOA MUN YUN, JUNG JUNE LEE </I>AND<I> MOONYONG LEE </I><B>27 PREDICTION OF AMMONIUM REMOVAL BY BIOCHAR PRODUCED FROM AGRICULTURAL WASTES USING ARTIFICIAL NEURAL NETWORKS: PROSPECTS AND BOTTLENECKS</B> <I>NGOC-THUY VU </I>AND<I> KHAC-UAN DO </I><B>28 MULTISCENARIO APPROACH FOR CAPTURING UNCERTAINTIES IN ENERGY-INTEGRATED AUTOTHERMAL THERMOPHILIC AEROBIC DIGESTION SYSTEMS </B><I>ELISAVETA KIRILOVA, RAYKA VLADOVA, </I>AND<I> NATASHA VAKLIEVA-BANCHEVA</I></P>

MEDICINA AMBIENTAL
MEDIO AMBIENTE
QUIMICA
TOXICOLOGIA
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