Enhancing Democratic Participation with Biometric and Technology-Based Voting Systems
Abstract
Free elections are the most important part of democracy. People use elections to confirm their opinions and voices and choose someone whose ideas they agree with the most. Elections will let voters choose their representatives. The elections are not only to choose the winner, but also to give the winner credibility among voters who did not vote for them. This stresses the need of having free, fair, and secret elections. It means that independent, fair, and responsible electoral bodies are in charge of overseeing elections. The saying "today's teens, tomorrow's citizens" means that students should be involved with, trained for, and familiar with the election process. In this way, colleges and universities organize general elections for their student governments. This student will learn firsthand how to file nominations, check papers, withdraw, canvass, address, and, most importantly, vote. Voting with technology will be easier, more effective, and less likely to be hacked. Technology will make all votes safer and faster, making counting and automatic verification far more useful. It is hard to make a better voting system because there are so many important things that need to be done. It is important to keep the poll secret. There should be no way to tell which candidate obtains a certain vote in the voting mechanism. The authors used the Authenticated Voting Machine in the elections talked about in this work to make things easier and more open. The idea is still quite new. More study is needed to make it stable and theoretically sound. The model uses radio frequency and fingerprint recognition, as well as an OT-based system, to keep things safe.
References
K. Weldemariam, R. A. Kemmerer, and A. Villafiorita, “Formal specification and analysis of an E-voting system,” in 2010 International Conference on Availability, Reliability and Security, Krakow, Poland, 2010.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Agussalim, Rusli, A. Rasjid, M. Nur, T. Erawan, Iwan, and Zaenab, "Caffeine in student learning activities," J. Drug Alcohol Res., vol. 12, no. 9, Ashdin Publishing, 2023.
T. K. Lakshmi and J. Dheeba, "Classification and Segmentation of Periodontal Cyst for Digital Dental Diagnosis Using Deep Learning," Computer Assisted Methods in Engineering and Science, vol. 30, no. 2, pp. 131-149, 2023.
T. K. Lakshmi and J. Dheeba, "Digital Decision Making in Dentistry: Analysis and Prediction of Periodontitis Using Machine Learning Approach," International Journal of Next-Generation Computing, vol. 13, no. 3, 2022.
T. K. Lakshmi and J. Dheeba, "Digitalization in Dental Problem Diagnosis, Prediction and Analysis: A Machine Learning Perspective of Periodontitis," International Journal of Recent Technology and Engineering, vol. 8, no. 5, pp. 67-74, 2020.
T. K. Lakshmi and J. Dheeba, "Predictive Analysis of Periodontal Disease Progression Using Machine Learning: Enhancing Oral Health Assessment and Treatment Planning," International Journal of Intelligent Systems and Applications in Engineering, vol. 11, no. 10s, pp. 660–671, 2023.
M. Kommineni, "Develop New Techniques for Ensuring Fairness in Artificial Intelligence and ML Models to Promote Ethical and Unbiased Decision-Making," International Journal of Innovations in Applied Sciences & Engineering, vol. 10, Special Issue, pp. 13, Aug. 2024.
M. Kommineni, "Investigate Methods for Visualizing the Decision-Making Processes of a Complex AI System, Making Them More Understandable and Trustworthy in Financial Data Analysis," International Transactions in Artificial Intelligence, vol. 8, no. 8, pp. 1–21, Jan. 2024.
M. Kommineni, "Study High-Performance Computing Techniques for Optimizing and Accelerating AI Algorithms Using Quantum Computing and Specialized Hardware," International Journal of Innovations in Applied Sciences & Engineering, vol. 9, no. 1, pp. 48–59, Sep. 2023.
M. Kommineni, "Investigate Computational Intelligence Models Inspired by Natural Intelligence, Such as Evolutionary Algorithms and Artificial Neural Networks," Transactions on Latest Trends in Artificial Intelligence, vol. 4, no. 4, p. 30, Jun. 2023.
M. Kommineni, "Investigating High-Performance Computing Techniques for Optimizing and Accelerating AI Algorithms Using Quantum Computing and Specialized Hardware," International Journal of Innovations in Scientific Engineering, vol. 16, no. 1, pp. 66–80, Nov. 2022.
P. Pulivarthy, "Enhancing Data Integration in Oracle Databases: Leveraging Machine Learning for Automated Data Cleansing, Transformation, and Enrichment," International Journal of Holistic Management Perspectives, vol. 4, no. 4, pp. 1–18, Jun. 2023.
P. Pulivarthy, "Enhancing Database Query Efficiency: AI-Driven NLP Integration in Oracle," Transactions on Latest Trends in Artificial Intelligence, vol. 4, no. 4, pp. 1–25, Oct. 2023.
P. Pulivarthy, "Gen AI Impact on the Database Industry Innovations," International Journal of Advances in Engineering Research, vol. 28, no. 3, pp. 1–10, Sep. 2024.
P. Pulivarthy, "Semiconductor Industry Innovations: Database Management in the Era of Wafer Manufacturing," FMDB Transactions on Sustainable Intelligent Networks, vol. 1, no. 1, pp. 15–26, Mar. 2024.
P. Pulivarthy, "Enhancing Dynamic Behaviour in Vehicular Ad Hoc Networks through Game Theory and Machine Learning for Reliable Routing," International Journal of Machine Learning and Artificial Intelligence, vol. 4, no. 4, pp. 1–13, Dec. 2023.
P. Pulivarthy, "Performance Tuning: AI Analyse Historical Performance Data, Identify Patterns, and Predict Future Resource Needs," International Journal of Innovations in Applied Sciences and Engineering, vol. 8, no. 2, pp. 139–155, Nov. 2022.
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.
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.
Agussalim, S. N. Fajriah, A. Adam, M. Asikin, T. Podding, and Zaenab, "Stimulant drink of the long driver lorry in Sulawesi Island, Indonesia," J. Drug Alcohol Res., vol. 13, no. 3, Ashdin Publishing, 2024.
Copyright (c) 2025 S. Manimaran, Akbar Sheriff, T. Muhammed Sufiyan, S. Syed Anwar, M. Mohamed Sameer Ali, J. Mohamed Zakkariya Maricar, A. Mohamed Suhail
This work is licensed under a Creative Commons Attribution 4.0 International License.
