[et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.16″ _module_preset=”default” locked=”off” global_colors_info=”{}”][et_pb_fullwidth_image src=”http:\/\/science.utm.my\/procscimath\/wp-content\/uploads\/sites\/605\/2020\/11\/proscimath_L_WB.png” title_text=”proscimath_L_WB” _builder_version=”4.16″ _module_preset=”default” width=”60%” module_alignment=”center” custom_padding=”0px|50px|0px|50px||” locked=”off” global_colors_info=”{}”][\/et_pb_fullwidth_image][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_divider _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.18.1″ _module_preset=”default” custom_padding=”||20px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”||-53px|||” global_colors_info=”{}”]<\/p>\n
Volume 21, August 2024<\/strong><\/p>\n Guest Editors:<\/strong><\/p>\n Adina Najwa Kamarudin Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia<\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” custom_margin=”32px|auto||auto||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n FRONT PAGE<\/strong><\/a><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n TABLE OF CONTENT<\/a><\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” custom_margin=”|auto|-47px|auto||” custom_padding=”4px|||||” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n Page<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Exploring Survival Analysis and Predictive Factors in Breast Cancer Patients<\/em><\/strong><\/p>\n \u00a0Asfa Fatini Md Zuraidi & Noraslinda Mohamed Ismail<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 1-10<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Optimizing Blood Transport Costs: Ant Colony Optimization Method for Vehicle Routing Problem with Time Windows<\/em><\/strong><\/p>\n Chai Ying Ying & Farhana Johar<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 11-19<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Analysing the correlation between BMI and Lifestyle Factors <\/em><\/strong>for Undergraduate Students at Universiti Teknologi Malaysia<\/em><\/strong><\/p>\n Che Elina binti Che Rosli & Siti Rohani Mohd Nor<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 20-30<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Forecasting Stock Market Prices Using Q-Learning Models<\/em><\/strong><\/p>\n Chen Jian Kai & Norma Alias<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 31-39<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Solute Dispersion in Casson Flow of Blood through a Stenosed Artery with Rigid Permeable Wall<\/em><\/strong><\/p>\n Deserley Eric Marcus Dompok & Nurul Aini Jaafar <\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 40-50<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Geometric Brownian Motion For Groundwater Level 5Prediction <\/em><\/strong><\/p>\n Ding Yi Suen & Arifah Bahar <\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 51-62<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Travelling Salesman Problem to solve KFC Chicken delivery by Using Simulated Annealing Method and Greedy Method<\/em><\/strong><\/p>\n Foo Sin Yew & Wan Rohaizad Wan Ibrahim<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 63-72<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Linguistic Patterns of Al-Quran Verses Using Text Mining<\/em><\/strong><\/p>\n Hanis Wahidah Abd Wahab & Norhaiza Ahmad<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 73-82<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n One-Dimensional Pollutant Transport in Groundwater<\/em><\/strong><\/p>\n Izza Syafinaz Izlan & Zaiton Mat Isa<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 83-94<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Forecasting Monthly PM10<\/sub> Concentration in Petaling Jaya using Dynamic Regression Model<\/em><\/strong><\/p>\n Izzah Atirah Zambri & Ani Shabri<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 95-104<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Air Pollution Index Analysis Using Functional Data Analysis <\/em><\/strong><\/p>\n Khoo Chun Kai & Muhammad Fauzee Hamdan<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 105-114<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Linear Programming Model for Semiconductor Aggregate Production Planning with Sensitivity Analysis<\/em><\/strong><\/p>\n Lew Xin Yan & Zaitul Marlizawati Zainuddin<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 115-124<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Infestation <\/em><\/strong>o<\/em><\/strong>f Golden Mussel Model <\/em><\/strong>by u<\/em><\/strong>sing Differential Equations<\/em><\/strong><\/p>\n Lisa Lim Shi Min<\/em> & <\/em>Faridah Mustapha<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 125-134<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Image Segmentation Using Convolutional Neural Network Based Geodesic Active Contour Model for Deforestation at Iskandar Puteri<\/em><\/strong><\/p>\n Loh Yuan Wei & Norma Alias<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 135-141<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Time Series Forecasting of Crude Birth Rate in Malaysia<\/em><\/strong><\/p>\n Lynlie E Lian & Muhammad Fauzee Hamdan<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 142-156<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Functional Data Analysis on Dengue Haemorrhagic Fever (DHF) in Malaysia<\/em><\/strong><\/p>\n Mohamad Haziq Mohd Zam Zam & Muhammad Fauzee Hamdan<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 157-168<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Mixed Convection Boundary Layer Flow of Viscoelastic Hybrid Nanofluid Past Over a Sphere with Constant Heat Flux<\/em><\/strong><\/p>\n Mohamad Solahudin Ibrahim & Wan Rukaida Wan Abdullah<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 169-179<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n MHD Nanofluid Flow in Presence of Heat Source\/Sink Considering Shape Effects of Nanoparticles<\/em><\/strong><\/p>\n Muhammad Atthirmizi Zulkiflee & Noraihan Afiqah Rawi<\/em><\/p>\n
Mohd Ali Khameini Ahmad
Zaiton Mat Isa
Nurul Aini Jaafar<\/p>\n