Advanced IoT-Based Smart Medicine Box Using Patients' Biometric Data
Abstract
There are also smart computer programs in the system that can determine when anything isn't right. When it encounters something unusual, it recommends the appropriate medicine based on established guidelines. This makes it easier for people to get health information quickly and can help them take better care of their health. The Smart Medical Box also features a mechanism to transmit messages using GSM (Global System for Mobile Communications) when someone is running low on medication. This implies that patients will know when they need more medicine and can acquire it before they run out. The Smart Medical Box is a comprehensive solution for monitoring your health and managing medications at home. It accomplishes this by utilising specialised sensors and intelligent applications. This approach empowers people to take charge of their health, enabling them to make informed choices about their well-being. The Smart Medicine Box utilises several biometric sensors, including fingerprint scanners and facial recognition, to identify each patient and ensure their medication is safe. It features a user-friendly interface for setting up medication schedules and receiving reminders about when to take your medicine, as well as the status of your medication box. This system utilises IoT connectivity to link to a central server or cloud-based platform, allowing you to monitor patient medication adherence in real-time. In general, the IoT-based smart medicine box is a valuable tool for enhancing patient care, promoting medication adherence, and improving overall health outcomes. Biometric verification and other sensors collect data that is used to track how the patient interacts with the medicine box. This provides healthcare providers with valuable insights into how patients behave and follow instructions.
References
M. Srinivas, P. Durgaprasadarao, and V. N. P. Raj, “Intelligent medicine box for medication management using IoT,” in 2018 2nd International Conference on Inventive Systems and Control (ICISC), Coimbatore, Tamil Nadu, India, 2018.
R. Boina, “Assessing the Increasing Rate of Parkinson’s Disease in the US and its Prevention Techniques”,” International Journal of Biotechnology Research and Development, vol. 3, no. 1, pp. 1–18, 2022.
I. Khalifa, H. Abd Al-glil, and M. M. Abbassy, “Mobile hospitalization,” International Journal of Computer Applications, vol. 80, no. 13, pp. 18–23, 2013.
I. Khalifa, H. Abd Al-glil, and M. M. Abbassy, “Mobile hospitalization for Kidney Transplantation,” International Journal of Computer Applications, vol. 92, no. 6, pp. 25–29, 2014.
M. M. Abbassy and A. Abo-Alnadr, “Rule-based emotion AI in Arabic Customer Review,” International Journal of Advanced Computer Science and Applications, vol. 10, no. 9, p.12, 2019.
M. M. Abbassy and W. M. Ead, “Intelligent Greenhouse Management System,” 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), 2020.
M. M. Abbassy, “Opinion mining for Arabic customer feedback using machine learning,” Journal of Advanced Research in Dynamical and Control Systems, vol. 12, no. SP3, pp. 209–217, 2020.
M. M. Abbassy, “The human brain signal detection of Health Information System IN EDSAC: A novel cipher text attribute based encryption with EDSAC distributed storage access control,” Journal of Advanced Research in Dynamical and Control Systems, vol. 12, no. SP7, pp. 858–868, 2020.
M. M. and S. Mesbah, “Effective e-government and citizens adoption in Egypt,” International Journal of Computer Applications, vol. 133, no. 7, pp. 7–13, 2016.
M.M.Abbassy, A.A. Mohamed “Mobile Expert System to Detect Liver Disease Kind”, International Journal of Computer Applications, vol. 14, no. 5, pp. 320–324, 2016.
R. A. Sadek, D. M. Abd-alazeem, and M. M. Abbassy, “A new energy-efficient multi-hop routing protocol for heterogeneous wireless sensor networks,” International Journal of Advanced Computer Science and Applications, vol. 12, no. 11, 2021.
S. Derindere Köseoğlu, W. M. Ead, and M. M. Abbassy, “Basics of Financial Data Analytics,” Financial Data Analytics, pp. 23–57, 2022.
W. Ead and M. Abbassy, “Intelligent Systems of Machine Learning Approaches for developing E-services portals,” EAI Endorsed Transactions on Energy Web, p. 167292, 2018.
W. M. Ead and M. M. Abbassy, “A general cyber hygiene approach for financial analytical environment,” Financial Data Analytics, pp. 369–384, 2022.
H. AbdulKader, E. ElAbd, and W. Ead, "Protecting online social networks profiles by hiding sensitive data attributes," Procedia Computer Science, vol. 82, pp. 20–27, 2016.
I. E. Fattoh, F. Kamal Alsheref, W. M. Ead, and A. M. Youssef, "Semantic sentiment classification for COVID-19 tweets using universal sentence encoder," Computational Intelligence and Neuroscience, vol. 2022, pp. 1–8, 2022.
M. Razeghi, A. Dehzangi, D. Wu, R. McClintock, Y. Zhang, Q. Durlin, et al., “Antimonite-based gap-engineered type-II superlattice materials grown by MBE and MOCVD for the third generation of infrared imagers,” in Infrared Technology and Applications XLV, vol. 11002, pp. 108–125, May 2019, SPIE.
F. Meng, L. Zhang, and Y. Chen, “FEDEMB: An efficient vertical and hybrid federated learning algorithm using partial network embedding,” 2023.
A.J. John Joseph, F.J. John Joseph, O.M. Stanislaus, and D. Das (2022). Classification methodologies in healthcare, Evolving Predictive Analytics in Healthcare: New AI techniques for real-time interventions, p 55-73. IET.
F. J. J. John Joseph, “Twitter Based Outcome Predictions of 2019 Indian General Elections Using Decision Tree,” in Proceedings of 2019 4th International Conference on Information Technology, 2019, no. October, pp. 50–53.
F. J. John Joseph and P. Anantaprayoon, “Offline Handwritten Thai Character Recognition Using Single Tier Classifier and Local Features,” in 2018 International Conference on Information Technology (InCIT), 2018, pp. 1–4.
D. K. Sharma and R. Tripathi, “4 Intuitionistic fuzzy trigonometric distance and similarity measure and their properties,” in Soft Computing, De Gruyter, Berlin, Germany, pp. 53–66, 2020.
D. K. Sharma, B. Singh, M. Anam, R. Regin, D. Athikesavan, and M. Kalyan Chakravarthi, “Applications of two separate methods to deal with a small dataset and a high risk of generalization,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2021.
D. K. Sharma, B. Singh, M. Anam, K. O. Villalba-Condori, A. K. Gupta, and G. K. Ali, “Slotting learning rate in deep neural networks to build stronger models,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2021.
K. Kaliyaperumal, A. Rahim, D. K. Sharma, R. Regin, S. Vashisht, and K. Phasinam, “Rainfall prediction using deep mining strategy for detection,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2021.
I. Nallathambi, R. Ramar, D. A. Pustokhin, I. V. Pustokhina, D. K. Sharma, and S. Sengan, “Prediction of influencing atmospheric conditions for explosion Avoidance in fireworks manufacturing Industry-A network approach,” Environ. Pollut., vol. 304, no. 7, p. 119182, 2022.
H. Sharma and D. K. Sharma, “A Study of Trend Growth Rate of Confirmed Cases, Death Cases and Recovery Cases of Covid-19 in Union Territories of India,” Turkish Journal of Computer and Mathematics Education, vol. 13, no. 2, pp. 569–582, 2022.
A. L. Karn et al., “Designing a Deep Learning-based financial decision support system for fintech to support corporate customer’s credit extension,” Malays. J. Comput. Sci., vol.36, no.s1, pp. 116–131, 2022.
A. L. Karn et al., “B-lstm-Nb based composite sequence Learning model for detecting fraudulent financial activities,” Malays. J. Comput. Sci., vol.32, no.s1, pp. 30–49, 2022.
P. P. Dwivedi and D. K. Sharma, “Application of Shannon entropy and CoCoSo methods in selection of the most appropriate engineering sustainability components,” Cleaner Materials, vol. 5, no. 9, p. 100118, 2022.
A. Kumar, S. Singh, K. Srivastava, A. Sharma, and D. K. Sharma, “Performance and stability enhancement of mixed dimensional bilayer inverted perovskite (BA2PbI4/MAPbI3) solar cell using drift-diffusion model,” Sustain. Chem. Pharm., vol. 29, no. 10, p. 100807, 2022.
A. Kumar, S. Singh, M. K. A. Mohammed, and D. K. Sharma, “Accelerated innovation in developing high-performance metal halide perovskite solar cell using machine learning,” Int. J. Mod. Phys. B, vol. 37, no. 07, p.12, 2023.
G. A. Ogunmola, M. E. Lourens, A. Chaudhary, V. Tripathi, F. Effendy, and D. K. Sharma, “A holistic and state of the art of understanding the linkages of smart-city healthcare technologies,” in 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2022.
P. Sindhuja, A. Kousalya, N. R. R. Paul, B. Pant, P. Kumar, and D. K. Sharma, “A Novel Technique for Ensembled Learning based on Convolution Neural Network,” in 2022 International Conference on Edge Computing and Applications (ICECAA), IEEE, Tamil Nadu, India, pp. 1087–1091, 2022.
A. R. B. M. Saleh, S. Venkatasubramanian, N. R. R. Paul, F. I. Maulana, F. Effendy, and D. K. Sharma, “Real-time monitoring system in IoT for achieving sustainability in the agricultural field,” in 2022 International Conference on Edge Computing and Applications (ICECAA), Tamil Nadu, India, 2022.
B. Senapati and B. S. Rawal, “Adopting a deep learning split-protocol based predictive maintenance management system for industrial manufacturing operations,” in Lecture Notes in Computer Science, Singapore: Springer Nature Singapore, pp. 22–39, 2023.
B. Senapati and B. S. Rawal, “Quantum communication with RLP quantum resistant cryptography in industrial manufacturing,” Cyber Security and Applications, vol. 1, no. 12, p. 100019, 2023.
M. A. Yassin et al., “Advancing SDGs : Predicting Future Shifts in Saudi Arabia ’ s Terrestrial Water Storage Using Multi-Step-Ahead Machine Learning Based on GRACE Data,” 2024.
M. A. Yassin, A. G. Usman, S. I. Abba, D. U. Ozsahin, and I. H. Aljundi, “Intelligent learning algorithms integrated with feature engineering for sustainable groundwater salinization modelling: Eastern Province of Saudi Arabia,” Results Eng., vol. 20, p. 101434, 2023.
S. I. Abba, A. G. Usman, and S. IŞIK, “Simulation for response surface in the HPLC optimization method development using artificial intelligence models: A data-driven approach,” Chemom. Intell. Lab. Syst., vol. 201, no. April, 2020.
A. G. Usman et al., “Environmental modelling of CO concentration using AI-based approach supported with filters feature extraction: A direct and inverse chemometrics-based simulation,” Sustain. Chem. Environ., vol. 2, p. 100011, 2023.
A. Gbadamosi et al., “New-generation machine learning models as prediction tools for modeling interfacial tension of hydrogen-brine system,” Int. J. Hydrogen Energy, vol. 50, pp. 1326–1337, 2024.
S. K. Sehrawat, "Transforming Clinical Trials: Harnessing the Power of Generative AI for Innovation and Efficiency," Transactions on Recent Developments in Health Sectors, vol. 6, no. 6, pp. 1-20, 2023.
S. K. Sehrawat, "Empowering the Patient Journey: The Role of Generative AI in Healthcare," International Journal of Sustainable Development Through AI, ML and IoT, vol. 2, no. 2, pp. 1-18, 2023.
S. K. Sehrawat, "The Role of Artificial Intelligence in ERP Automation: State-of-the-Art and Future Directions," Transactions on Latest Trends in Artificial Intelligence, vol. 4, no. 4, 2023.
A. Dixit, P. Dhanalakshmi, P. T. Rameshchandra, K. S. Chachlani, B. J. Kukreja, Ananya, et al., “Effectiveness of online vs. in-person periodontal health workshops for public awareness,” J. Pharm. Bioall. Sci., vol. 16, pp. S777–S779, 2024.
A. Katariya and B. J. Kukreja, “A modification of fenestration technique (MOFT) to increase vestibular depth: A case series,” Indian J. Dent. Res., 2024.
A. Katariya, B. J. Kukreja, and S. C. Dinda, “A microbiological study to evaluate the effect of different concentrations of coenzyme Q10 in inhibiting key pathogens of periodontitis,” Eur. Chem. Bull., vol. 12, no. 10, pp. 5826–5843, 2023.
A. Singh, I. Menon, V. Aggarwal, B. J. Kukreja, P. Kukreja, and R. P. Singh, “Evaluation of quality of dental care and patient’s perception for treatment received in dental institution in Moradabad, Uttar Pradesh,” Int. J. Oral Care Res., vol. 3, no. 3, pp. 10–40, 2016.
D. Singhal, R. Mohan, K. Krishna, B. J. Kukreja, and A. Singh, “Genetics: Application in periodontal disease,” TMU J. Dent., vol. 4, no. 4, pp. 143–148, 2017.
G. Yadavalli, P. Singhal, N. Gupta, B. J. Kukreja, B. Gupta, P. Kukreja, R. S. Makkad, and D. Mehta, “Evaluation of immunohistochemical markers in oral squamous cell carcinoma,” Bioinformation, vol. 19, no. 13, pp. 1399–1404, 2023.
K. Arora, V. Dodwad, B. J. Kukreja, and S. Nagpal, “A comparative evaluation of the efficacy of glycine air polishing following scaling and root planing & scaling and root planing alone in the treatment of chronic periodontitis: A clinical study,” J. Dent. Specialities, vol. 1, no. 2, pp. 47–54, 2013.
K. R. Anand, P. Kukreja, S. Kumar, B. J. Kukreja, and M. Sharma, “Nonsurgical treatment of ameloblastoma—Where are we?” Clin. Dent., vol. 7, pp. 26–28, 2014.
M. Gera, S. Chaudhary, A. S. Dhillon, V. Dodwad, S. Vaish, and B. J. Kukreja, “Pink in, black out—a clinical study,” J. Dent. Specialities., vol. 4, no. 1, pp. 31–35, 2016.
M. Kumar, M. Goyal, B. Jha, S. Tomar, and A. Kushwah, “An innovative procedure for lip lengthening in a patient with a short upper lip and high angle skeletal class II pattern: A case report,” J. Indian Orthod. Soc., vol. 30, pp. 1–8, 2021.
M. Ray, B. J. Kukreja, A. Katariya, et al., “Evaluation of buccal pad fat combined with demineralized freeze-dried bone allograft in treatment of Grade II furcation defects: A clinical radiographic study,” World J. Dent., vol. 15, no. 6, pp. 459–467, 2024.
M. S. Dua, A. Dua, B. J. Kukreja, V. Dodwad, A. S. Sethi, and P. Kukreja, “Periodontal disease and preterm low birth weight,” Int. J. Oral Care Res., vol. 2, no. 6, pp. 49–55, 2014.
P. Kukreja, A. F. Qahtani, M. F. Qahtani, M. F. Qahtani, and B. J. Kukreja, “Use of stem cells in tissue engineering and reconstruction of the maxillofacial region,” Int. J. Res. Med. Sci., vol. 8, no. 7, pp. 2740–2745, 2020.
P. Mishra, S. Jha, D. Pandey, A. Thakur, and B. J. Kukreja, “Clinical and laboratory predictors of chronic immune thrombocytopenia in children: A study of 25 cases and review of literature,” Int. J. Biomed. Adv. Res., vol. 10, no. 2, p. e5104, 2019.
P. Tyagi, V. Dodwad, B. J. Kukreja, and P. Kukreja, “A comparison of the efficacy of scaling and root planing with application of pomegranate chip, pomegranate gel and scaling and root planing in sufferers with adult periodontitis - a prospective study,” J. Indian Soc. Periodontol., vol. 25, pp. 41–46, 2021.
P. Verma, U. Gupta, V. Dodwad, B. J. Kukreja, and K. Arora, “Evaluation of the clinical efficacy of a new desensitizing toothpaste containing nano-crystalline hydroxyapatite in dentine hypersensitivity patients: A double-blind randomized controlled clinical trial,” J. Dent. Specialities, vol. 1, no. 2, pp. 42–46, 2013.
R. Saleem, B. J. Kukreja, M. Goyal, and M. Kumar, “Treating short upper lip with ‘Unified lip repositioning’ technique: Two case reports,” J. Indian Soc. Periodontol., vol. 26, pp. 89–93, 2022.
R. Sood, A. Gulri, U. Gupta, B. J. Kukreja, and V. Dodwad, “Efficacy of biodegradable xanthan-based chlorhexidine gel (Chlosite®) and 0.2% chlorhexidine irrigation following scaling and root planing for the treatment of chronic periodontitis,” Int. J. Oral Care Res., vol. 2, no. 6, pp. 1–7, 2014.
S. Bansal, P. Kukreja, S. Kumar, M. Sharma, K. R. Anand, and B. J. Kukreja, “Anaesthetic efficacy of anterior middle superior alveolar nerve block for extraction of anterior maxillary anterior teeth,” J. Dent. Specialities, vol. 2, no. 2, pp. 1–4, 2014.
S. Gupta, K. K. G. Rangappa, S. Rani, R. Ganesh, P. Kukreja, and B. J. Kukreja, “Periodontal and dentition status among psychiatric patients in Indore: A descriptive cross-sectional study,” J. Contemp. Dent. Pract., vol. 23, no. 12, pp. 1260–1266, 2022.
S. S. Kumararama, M. Patil, B. J. Kukreja, M. Salkar, S. Verma, N. Pattnaik, et al., “Efficacy of antibiotics versus probiotics as adjuncts to mechanical debridement for the treatment of peri-implant mucositis,” J. Pharm. Bioall. Sci., vol. 16, pp. S3389–S3391, 2024.
T. Bera, B. J. Kukreja, C. Sharma, V. V. Gupta, P. Patel, P. Singhal, et al., “Relative contribution of trabecular and cortical bone to primary implant stability: An in vitro model study,” J. Pharm. Bioall. Sci., vol. 16, pp. S3427–S3429, 2024.
T. Mishra, B. J. Kukreja, R. Patel, M. Ghadage, P. Dalave, S. Kumari, et al., “In vitro evaluation of titanium exfoliation during simulated surgical insertion of dental implants,” J. Pharm. Bioall. Sci., vol. 16, pp. S3383–S3385, 2024.
Y. M. Talib, W. N. Albalushi, M. D. Fouad, A. M. Salloum, B. J. Kukreja, H. Abdelmagyd, “Bilateral inverted and impacted mandibular third molars: A rare case report,” Cureus, pp. 2–9, 2023.
S. Dahiya, U. Gupta, V. Dodwad, B. J. Kukreja, and P. Dasgupta, “The enzyme activity of alkaline phosphatase in gingival crevicular fluid of smokers and non-smokers with chronic periodontitis before and after phase I therapy,” J. Pharm. Biomed. Sci., vol. 32, no. 32, pp. 1348–1353, Jul. 2013.
I. Abdulazeez, S. I. Abba, J. Usman, A. G. Usman, and I. H. Aljundi, “Recovery of Brine Resources Through Crown-Passivated Graphene, Silicene, and Boron Nitride Nanosheets Based on Machine-Learning Structural Predictions,” ACS Appl. Nano Mater., 2023.
B. S. Alotaibi et al., “Sustainable Green Building Awareness: A Case Study of Kano Integrated with a Representative Comparison of Saudi Arabian Green Construction,” Buildings, vol. 13, no. 9, 2023.
S. I. Abba et al., “Integrated Modeling of Hybrid Nanofiltration/Reverse Osmosis Desalination Plant Using Deep Learning-Based Crow Search Optimization Algorithm,” Water (Switzerland), vol. 15, no. 19, 2023.
S. I. Abba, J. Usman, and I. Abdulazeez, “Enhancing Li + recovery in brine mining : integrating next-gen emotional AI and explainable ML to predict adsorption energy in crown ether-based hierarchical nanomaterials,” pp. 15129–15142, 2024.
J. Usman, S. I. Abba, N. Baig, N. Abu-Zahra, S. W. Hasan, and I. H. Aljundi, “Design and Machine Learning Prediction of In Situ Grown PDA-Stabilized MOF (UiO-66-NH2) Membrane for Low-Pressure Separation of Emulsified Oily Wastewater,” ACS Appl. Mater. Interfaces, Mar. 2024.
B. Senapati et al., “Wrist crack classification using deep learning and X-ray imaging,” in Proceedings of the Second International Conference on Advances in Computing Research (ACR’24), Cham: Springer Nature Switzerland, pp. 60–69, 2024.
A. B. Naeem et al., “Heart disease detection using feature extraction and artificial neural networks: A sensor-based approach,” IEEE Access, vol. 12, no.3, pp. 37349–37362, 2024.
R. Tsarev et al., “Automatic generation of an algebraic expression for a Boolean function in the basis ∧, ∨, ¬,” in Data Analytics in System Engineering, Cham: Springer International Publishing, Switzerland, pp. 128–136, 2024.
R. Tsarev, B. Senapati, S. H. Alshahrani, A. Mirzagitova, S. Irgasheva, and J. Ascencio, “Evaluating the effectiveness of flipped classrooms using linear regression,” in Data Analytics in System Engineering, Cham: Springer International Publishing, Switzerland, pp. 418–427, 2024.
Srinivasa, D. Baliga, N. Devi, D. Verma, P. P. Selvam, and D. K. Sharma, “Identifying lung nodules on MRR connected feature streams for tumor segmentation,” in 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Tamil Nadu, India, 2022.
C. Goswami, A. Das, K. I. Ogaili, V. K. Verma, V. Singh, and D. K. Sharma, “Device to device communication in 5G network using device-centric resource allocation algorithm,” in 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Tamil Nadu, India , 2022.
M. Yuvarasu, A. Balaram, S. Chandramohan, and D. K. Sharma, “A Performance Analysis of an Enhanced Graded Precision Localization Algorithm for Wireless Sensor Networks,” Cybernetics and Systems, pp. 1–16, 2023, Press.
P. P. Dwivedi and D. K. Sharma, “Evaluation and ranking of battery electric vehicles by Shannon’s entropy and TOPSIS methods,” Math. Comput. Simul., vol. 212, no.10, pp. 457–474, 2023.
P. P. Dwivedi and D. K. Sharma, “Assessment of Appropriate Renewable Energy Resources for India using Entropy and WASPAS Techniques,” Renewable Energy Research and Applications, vol. 5, no. 1, pp. 51–61, 2024.
20. P. P. Dwivedi and D. K. Sharma, “Selection of combat aircraft by using Shannon entropy and VIKOR method,” Def. Sci. J., vol. 73, no. 4, pp. 411–419, 2023.
F. J. John Joseph and S. Auwatanamongkol, “A crowding multi-objective genetic algorithm for image parsing,” Neural Comput. Appl., vol. 27, no. 8, pp. 2217–2227, 2016.
F. J. John Joseph and S. Nonsiri, “Region-Specific Opinion Mining from Tweets in a Mixed Political Scenario,” in International Conference on Intelligent and Smart Computing in Data Analytics, 2021, pp. 189–195.
F. J. John Joseph and V. R. T, “Enhanced Robustness for Digital Images Using Geometric Attack simulation,” Procedia Eng., vol. 38, no. Apr 2012, pp. 2672–2678, 2012.
F. J. John Joseph, “IoT-Based Unified Approach to Predict Particulate Matter Pollution in Thailand” The Role of IoT and Blockchain: Techniques and Applications, 145-151, 2022.
F. J. John Joseph, R. T, and J. J. C, “Classification of correlated subspaces using HoVer representation of Census Data,” in 2011 International Conference on Emerging Trends in Electrical and Computer Technology, Mar. 2011, pp. 906–911.
F. Meng, L. Jagadeesan, and M. Thottan, “Model-based reinforcement learning for service mesh fault resiliency in a web application-level,” arXiv preprint arXiv:2110.13621, 2021.
F. Meng, L. Zhang, Y. Chen, and Y. Wang, “Sample-based dynamic hierarchical transformer with layer and head flexibility via contextual bandit,” Authorea Preprints, 2023.
W. M. Ead, W. F. Abdel-Wahed, and H. Abdul-Kader, "Adaptive fuzzy classification-rule algorithm in detection malicious web sites from suspicious URLs," International Arab Journal of e-Technology, vol. 3, pp. 1–9, 2013.
M. A. Abdelazim, M. M. Nasr, and W. M. Ead, "A survey on classification analysis for cancer genomics: Limitations and novel opportunity in the era of cancer classification and target therapies," Annals of Tropical Medicine and Public Health, vol. 23, no. 24, 2020.
F. K. Alsheref, I. E. Fattoh, and W. M. Ead, "Automated prediction of employee attrition using ensemble model based on machine learning algorithms," Computational Intelligence and Neuroscience, vol. 2022, pp. 1–9, 2022.
W. M. Ead and M. M. Abbassy, “IoT based on plant diseases detection and classification,” 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021.
W. M. Ead, M. M. Abbassy, and E. El-Abd, “A general framework information loss of utility-based anonymization in Data Publishing,” Turkish Journal of Computer and Mathematics Education, vol. 12, no. 5, pp. 1450–1456, 2021.
A. M. El-Kady, M. M. Abbassy, H. H. Ali, and M. F. Ali, “Advancing Diabetic Foot Ulcer Detection Based On Resnet And Gan Integration,” Journal of Theoretical and Applied Information Technology, vol. 102, no. 6, pp. 2258–2268, 2024.
M. M. Abbassy and W. M. Ead, “Fog computing-based public e-service application in service-oriented architecture,” International Journal of Cloud Computing, vol. 12, no. 2–4, pp. 163–177, 2023.
Copyright (c) 2025 N. Selvam, N. Mohammed Faizan, K. Mohamed Aarif, A. Mappillai Meeran, M. Mohamed Thariq, A. Mohamed Fahadhu
This work is licensed under a Creative Commons Attribution 4.0 International License.
